Triple
T7098637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYSP |
E165394
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NYSP |
E165394
|
NE FINISHED |
How this triple was built (2 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: NYSP | Statement: [NYSP, abbreviation, NYSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYSP Context triple: [NYSP, abbreviation, NYSP]
-
A.
NYSP
chosen
NYSP is the primary statewide law enforcement agency responsible for policing and public safety across New York State.
-
B.
NYP
NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
-
C.
NYM
NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
-
D.
NYSA
NYSA is the commonly used abbreviation for the New York State Archives, the official repository for New York State government records and historical documents.
-
E.
NYCT
NYCT is the primary bus operating division of New York City's Metropolitan Transportation Authority, running most of the city's local and express bus services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e557c0108190891ca1be84f21601 |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca6236c81908a7051bd00d0ca90 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.