Triple
T19800950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington, Brooklyn |
E475671
|
entity |
| Predicate | fireService |
P3910
|
FINISHED |
| Object | FDNY Engine 250 |
—
|
NE NERFINISHED |
How this triple was built (3 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: FDNY Engine 250 | Statement: [Kensington, Brooklyn, fireService, FDNY Engine 250]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDNY Engine 250 Context triple: [Kensington, Brooklyn, fireService, FDNY Engine 250]
-
A.
FDNY Engine 325
FDNY Engine 325 is a New York City Fire Department engine company serving the Woodside neighborhood in Queens.
-
B.
FDNY Engine 52
FDNY Engine 52 is a New York City Fire Department engine company that provides fire protection and emergency response services to the Riverdale neighborhood in the Bronx.
-
C.
FDNY Engine 253
FDNY Engine 253 is a New York City Fire Department engine company that provides firefighting and emergency response services to the Gravesend neighborhood of Brooklyn.
-
D.
FDNY Engine 63
FDNY Engine 63 is a New York City Fire Department engine company that provides firefighting and emergency response services to the Williamsbridge neighborhood in the Bronx.
-
E.
FDNY Engine 319
FDNY Engine 319 is a New York City Fire Department engine company that provides fire protection and emergency response services to the Middle Village neighborhood in Queens.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FDNY Engine 250 Target entity description: FDNY Engine 250 is a New York City Fire Department engine company that provides firefighting and emergency response services to the Kensington neighborhood of Brooklyn.
-
A.
FDNY Engine 325
FDNY Engine 325 is a New York City Fire Department engine company serving the Woodside neighborhood in Queens.
-
B.
FDNY Engine 52
FDNY Engine 52 is a New York City Fire Department engine company that provides fire protection and emergency response services to the Riverdale neighborhood in the Bronx.
-
C.
FDNY Engine 253
FDNY Engine 253 is a New York City Fire Department engine company that provides firefighting and emergency response services to the Gravesend neighborhood of Brooklyn.
-
D.
FDNY Engine 63
FDNY Engine 63 is a New York City Fire Department engine company that provides firefighting and emergency response services to the Williamsbridge neighborhood in the Bronx.
-
E.
FDNY Engine 319
FDNY Engine 319 is a New York City Fire Department engine company that provides fire protection and emergency response services to the Middle Village neighborhood in Queens.
- F. None of above. chosen
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.