Triple
T33008281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Police Department 88th Precinct |
E844569
|
entity |
| Predicate | policeForceOf |
P37255
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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: New York City | Statement: [New York City Police Department 88th Precinct, policeForceOf, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeForceOf Context triple: [New York City Police Department 88th Precinct, policeForceOf, New York City]
-
A.
hasOwnPoliceForce
Indicates that an entity maintains and controls its own dedicated police force or law enforcement agency.
-
B.
policesCity
Indicates that one entity is responsible for providing law enforcement or policing services within a particular city.
-
C.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
D.
policeUnit
chosen
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
-
E.
lawEnforcementOrganization
Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 1:23 a.m.