Triple
T13236630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 97-34 |
E315162
|
entity |
| Predicate | publicLawNumber |
P1117
|
FINISHED |
| Object |
97-34
97-34 is the numerical designation of a United States federal statute enacted by the 97th Congress, commonly known as the Economic Recovery Tax Act of 1981.
|
E1029409
|
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: 97-34 | Statement: [Public Law 97-34, publicLawNumber, 97-34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 97-34 Context triple: [Public Law 97-34, publicLawNumber, 97-34]
-
A.
D37
D37 is the pennant number assigned to HMS Duncan, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
G.9701
G.9701 is an ITU-T standard that defines the physical layer specifications for G.fast broadband access over existing copper telephone lines.
-
D.
K7
K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
-
E.
K7
K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
- 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: 97-34 Triple: [Public Law 97-34, publicLawNumber, 97-34]
Generated description
97-34 is the numerical designation of a United States federal statute enacted by the 97th Congress, commonly known as the Economic Recovery Tax Act of 1981.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 97-34 Target entity description: 97-34 is the numerical designation of a United States federal statute enacted by the 97th Congress, commonly known as the Economic Recovery Tax Act of 1981.
-
A.
D37
D37 is the pennant number assigned to HMS Duncan, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
-
B.
N374
N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
-
C.
G.9701
G.9701 is an ITU-T standard that defines the physical layer specifications for G.fast broadband access over existing copper telephone lines.
-
D.
K7
K7 is a prominent and technically challenging high-altitude peak in Pakistan’s Karakoram range, renowned among mountaineers for its steep granite faces and remote location.
-
E.
K7
K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3079c08190977663e5d4762a80 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f700cbb3708190884d05dd0dd22639 |
completed | May 3, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7031a4490819081da260edd969ee8 |
completed | May 3, 2026, 8:11 a.m. |
Created at: April 9, 2026, 9:22 p.m.