Triple
T5882948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYPD 79th Precinct |
E130792
|
entity |
| Predicate | precinctNumber |
P1727
|
FINISHED |
| Object | 79 |
—
|
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: 79 | Statement: [NYPD 79th Precinct, precinctNumber, 79]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precinctNumber Context triple: [NYPD 79th Precinct, precinctNumber, 79]
-
A.
policePrecinct
chosen
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
B.
communityDistrictNumber
Indicates the specific community district identifier associated with an entity or location.
-
C.
partyNumber
Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
-
D.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
E.
censusNumber
Indicates the unique identifier or count assigned to an entity within an official census record.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.