Triple

T35082345
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Bridge entrance in Manhattan E1012473 entity
Predicate nearLawEnforcementFacility P182503 FINISHED
Object New York City Police Department headquarters 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 Police Department headquarters | Statement: [Brooklyn Bridge entrance in Manhattan, nearLawEnforcementFacility, New York City Police Department headquarters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearLawEnforcementFacility
Context triple: [Brooklyn Bridge entrance in Manhattan, nearLawEnforcementFacility, New York City Police Department headquarters]
  • A. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • B. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • C. hasNearbyPrisonComplex
    Indicates that one location is situated close to a prison complex.
  • D. placeOfDetention
    Indicates the location or facility where an entity is or was held in detention.
  • E. lawEnforcementOrganization
    Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
  • 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_69f76dd32c008190853aef6028f60208 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dbf72648190a4971a558e9d1889 completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
PDg Predicate description generation batch_69f78ce43094819093857fc99f269afe completed May 3, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:01 p.m.