Triple
T13903405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYPD 46th Precinct |
E334284
|
entity |
| Predicate | policeServiceArea |
P104835
|
FINISHED |
| Object | central-western Bronx |
—
|
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: central-western Bronx | Statement: [NYPD 46th Precinct, policeServiceArea, central-western Bronx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeServiceArea Context triple: [NYPD 46th Precinct, policeServiceArea, central-western Bronx]
-
A.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
B.
areaOfService
chosen
Indicates the geographic or functional region within which a service is provided or applicable.
-
C.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
-
D.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
E.
policeAndCrimeCommissionerArea
Indicates the geographic area over which a specific Police and Crime Commissioner has authority or jurisdiction.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25db1e308190aaed6a21e443cc44 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.