Triple
T171430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Commission |
E3130
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
TJC
TJC is a U.S.-based nonprofit organization that accredits and certifies healthcare organizations and programs to promote quality and patient safety.
|
E21286
|
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: TJC | Statement: [Joint Commission, abbreviation, TJC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TJC Context triple: [Joint Commission, abbreviation, TJC]
-
A.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
B.
T-MEC
T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
-
C.
FJCC
FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
-
D.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
E.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
- 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: TJC Triple: [Joint Commission, abbreviation, TJC]
Generated description
TJC is a U.S.-based nonprofit organization that accredits and certifies healthcare organizations and programs to promote quality and patient safety.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TJC Target entity description: TJC is a U.S.-based nonprofit organization that accredits and certifies healthcare organizations and programs to promote quality and patient safety.
-
A.
SJC
SJC is the abbreviation commonly used for the Massachusetts Supreme Judicial Court, the highest appellate court in the Commonwealth of Massachusetts.
-
B.
T-MEC
T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
-
C.
FJCC
FJCC was a major mid-20th-century U.S. computing conference that served as a key forum for presenting influential research and developments in computer science and technology.
-
D.
SCJ
SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
-
E.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a258b94d00819098e90bdfa1306f9f |
completed | Feb. 28, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e3c131cc81909092b2aab26cd1ba |
completed | Feb. 28, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_69a2e43c273c8190ac28bb1826f30eb4 |
completed | Feb. 28, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e492948c8190a9338cf1a7b5acd8 |
completed | Feb. 28, 2026, 12:50 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.