Triple
T25013080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYPD 110th Precinct |
E626048
|
entity |
| Predicate | areaTypePoliced |
P157540
|
FINISHED |
| Object | urban neighborhood |
—
|
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: urban neighborhood | Statement: [NYPD 110th Precinct, areaTypePoliced, urban neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaTypePoliced Context triple: [NYPD 110th Precinct, areaTypePoliced, urban neighborhood]
-
A.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
-
B.
policeAreaPrecursorOf
Indicates that one police area served as a predecessor or earlier form of another police area in an administrative or organizational sequence.
-
C.
policePresence
Indicates that law enforcement officers are present at or monitoring a particular location, event, or situation.
-
D.
policeAndCrimeCommissionerArea
Indicates the geographic area over which a specific Police and Crime Commissioner has authority or jurisdiction.
-
E.
policedCounty
Indicates that a law enforcement body has jurisdiction over, and is responsible for policing, a particular county.
- F. None of above. chosen
Provenance (4 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba3150c819090e7de4644429074 |
completed | May 1, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:05 a.m.