Triple

T32645938
Position Surface form Disambiguated ID Type / Status
Subject Zootopia Police Department E834595 entity
Predicate headquartersLocationFictional P42063 FINISHED
Object Zootopia 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: Zootopia Police Department Headquarters | Statement: [Zootopia Police Department, headquartersLocationFictional, Zootopia Police Department Headquarters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headquartersLocationFictional
Context triple: [Zootopia Police Department, headquartersLocationFictional, Zootopia Police Department Headquarters]
  • A. fictionalHeadquartersLocation chosen
    Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
  • B. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • C. basedInFictionalWorkLocation
    Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
  • D. basedInFictionalLocation
    Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
  • E. systemHeadquartersLocation
    Indicates the location where an organization’s main administrative or central operations are based.
  • 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c775d6188190b236fc4f89a11b61 completed May 3, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69f6c3f617c08190a70ba880210f908c completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:07 a.m.