Triple
T60797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States courts of appeals |
E1207
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
United States Court of Appeals for the District of Columbia Circuit
The United States Court of Appeals for the District of Columbia Circuit is a federal appellate court widely regarded as one of the most influential in the country, particularly in cases involving federal agencies and constitutional law.
|
E16546
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United States Court of Appeals for the District of Columbia Circuit | Statement: [United States courts of appeals, includes, United States Court of Appeals for the District of Columbia Circuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United States Court of Appeals for the District of Columbia Circuit Context triple: [United States courts of appeals, includes, United States Court of Appeals for the District of Columbia Circuit]
-
A.
United States Court of Appeals for the Ninth Circuit
The United States Court of Appeals for the Ninth Circuit is a federal appellate court that reviews cases from district courts in a large western region of the United States, including states such as California, Arizona, and Washington.
-
B.
United States Court of Appeals for the Fourth Circuit
The United States Court of Appeals for the Fourth Circuit is a federal appellate court that reviews cases from district courts in Maryland, Virginia, West Virginia, North Carolina, and South Carolina.
-
C.
United States Court of Appeals for the Second Circuit
The United States Court of Appeals for the Second Circuit is a federal appellate court that reviews cases from district courts in New York, Connecticut, and Vermont and is known for its influential decisions in areas such as securities law, immigration, and constitutional rights.
-
D.
United States Court of Appeals for the Seventh Circuit
The United States Court of Appeals for the Seventh Circuit is a federal appellate court that reviews cases from district courts in Illinois, Indiana, and Wisconsin.
-
E.
United States Court of Appeals for the Federal Circuit
The United States Court of Appeals for the Federal Circuit is a specialized federal appellate court with nationwide jurisdiction over certain subject areas, including patent law, international trade, government contracts, and veterans’ benefits.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United States Court of Appeals for the District of Columbia Circuit Triple: [United States courts of appeals, includes, United States Court of Appeals for the District of Columbia Circuit]
Generated description
The United States Court of Appeals for the District of Columbia Circuit is a federal appellate court widely regarded as one of the most influential in the country, particularly in cases involving federal agencies and constitutional law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United States Court of Appeals for the District of Columbia Circuit Target entity description: The United States Court of Appeals for the District of Columbia Circuit is a federal appellate court widely regarded as one of the most influential in the country, particularly in cases involving federal agencies and constitutional law.
-
A.
United States Court of Appeals for the Ninth Circuit
The United States Court of Appeals for the Ninth Circuit is a federal appellate court that reviews cases from district courts in a large western region of the United States, including states such as California, Arizona, and Washington.
-
B.
United States Court of Appeals for the Fourth Circuit
The United States Court of Appeals for the Fourth Circuit is a federal appellate court that reviews cases from district courts in Maryland, Virginia, West Virginia, North Carolina, and South Carolina.
-
C.
United States Court of Appeals for the Second Circuit
The United States Court of Appeals for the Second Circuit is a federal appellate court that reviews cases from district courts in New York, Connecticut, and Vermont and is known for its influential decisions in areas such as securities law, immigration, and constitutional rights.
-
D.
United States Court of Appeals for the Seventh Circuit
The United States Court of Appeals for the Seventh Circuit is a federal appellate court that reviews cases from district courts in Illinois, Indiana, and Wisconsin.
-
E.
United States Court of Appeals for the Federal Circuit
The United States Court of Appeals for the Federal Circuit is a specialized federal appellate court with nationwide jurisdiction over certain subject areas, including patent law, international trade, government contracts, and veterans’ benefits.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee244548190bd0e5c01233cbad8 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b85b11c08190b97de9b0382be6d5 |
completed | Feb. 28, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69a2b8ee35048190b096296a42481b9c |
completed | Feb. 28, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b99440e88190ab7c8525609569f1 |
completed | Feb. 28, 2026, 9:47 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.