Triple

T25013063
Position Surface form Disambiguated ID Type / Status
Subject NYPD 110th Precinct E626048 entity
Predicate policeCode P25037 FINISHED
Object 110 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: 110 | Statement: [NYPD 110th Precinct, policeCode, 110]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policeCode
Context triple: [NYPD 110th Precinct, policeCode, 110]
  • A. policePackageCode
    Indicates that an entity is associated with a specific police package code, typically identifying a law-enforcement-related configuration, option, or classification.
  • B. policeNumber chosen
    Indicates that an entity is associated with a specific police-related identification or reference number.
  • C. policeNumberingSystem
    Indicates a system by which police assign and manage identification numbers to cases, incidents, or personnel.
  • D. policeSystem
    Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
  • E. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • 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_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.
Created at: April 18, 2026, 6:05 a.m.