Triple

T1792196
Position Surface form Disambiguated ID Type / Status
Subject East Precinct E39520 entity
Predicate lawEnforcementAgencyType P7908 FINISHED
Object local police division 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: local police division | Statement: [East Precinct, lawEnforcementAgencyType, local police division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawEnforcementAgencyType
Context triple: [East Precinct, lawEnforcementAgencyType, local police division]
  • A. enforcementAgency
    Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
  • B. typeOfLawEnforcement chosen
    Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
  • C. publicSafetyAgencyType
    Indicates the specific category or kind of public safety agency associated with an entity (e.g., police, fire, emergency medical services).
  • D. hasPoliceDepartment
    Indicates that an entity possesses, is served by, or is administratively associated with a police department.
  • E. securityAgency
    Indicates that one entity functions as a security agency responsible for protection, surveillance, or enforcement activities in relation to another entity.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab61b6ea188190aab9fb839bf1e367 completed March 6, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69aa61d2f7a8819090301f92d3e358c7 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.