Triple
T7168023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troop B (New York State Police) |
E167119
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Troop B |
E167119
|
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: Troop B | Statement: [Troop B (New York State Police), hasAbbreviation, Troop B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troop B Context triple: [Troop B (New York State Police), hasAbbreviation, Troop B]
-
A.
Troop B
chosen
Troop B is a regional field division of the New York State Police responsible for law enforcement and public safety in its assigned area of the state.
-
B.
Troop A
Troop A is a regional field division of the New York State Police responsible for providing law enforcement services within its designated area of the state.
-
C.
Troop E
Troop E is a regional field division of the New York State Police responsible for law enforcement and public safety across a designated area of New York State.
-
D.
Troop C
Troop C is a regional field division of the New York State Police responsible for law enforcement and public safety in its assigned area of the state.
-
E.
Troop D
Troop D is a regional field division of the New York State Police responsible for law enforcement and public safety in a designated area of the state.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85b4410819098c6531229da51d4 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9094a8c81909e9d5b91ec714831 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.