Triple
T6700026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 40th Precinct, NYPD |
E152853
|
entity |
| Predicate | isStationHouseFor |
P67086
|
FINISHED |
| Object | NYPD officers assigned to the 40th Precinct |
—
|
LITERAL 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: NYPD officers assigned to the 40th Precinct | Statement: [40th Precinct, NYPD, isStationHouseFor, NYPD officers assigned to the 40th Precinct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStationHouseFor Context triple: [40th Precinct, NYPD, isStationHouseFor, NYPD officers assigned to the 40th Precinct]
-
A.
isStationHouseOf
chosen
Indicates that a particular station building or facility serves as the designated station house for a given station or transit stop.
-
B.
hasStationHouseLocation
Indicates that a station house is located at or associated with a specific place or geographic location.
-
C.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
D.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
E.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
- F. None of above.
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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.