Triple
T34801284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronx Community District 4 |
E1003223
|
entity |
| Predicate | NYPDPrecinctNumber |
P1727
|
FINISHED |
| Object | 44 |
—
|
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: 44 | Statement: [Bronx Community District 4, NYPDPrecinctNumber, 44]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NYPDPrecinctNumber Context triple: [Bronx Community District 4, NYPDPrecinctNumber, 44]
-
A.
policeBorough
Indicates that a police force, unit, or station has jurisdiction over or is associated with a specific borough.
-
B.
policePrecinct
chosen
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
C.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
D.
primaryBorough
Indicates that one borough is the main or most significant borough associated with a given entity.
-
E.
rankByPopulationInNYC
Indicates the relative ordering of entities based on the size of their populations within New York City.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a89c4e88190a048e95d42b4a084 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.