Triple

T22248917
Position Surface form Disambiguated ID Type / Status
Subject ONP E549919 entity
Predicate municipalOwnerType P69002 FINISHED
Object city 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: city | Statement: [ONP, municipalOwnerType, city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalOwnerType
Context triple: [ONP, municipalOwnerType, city]
  • A. municipalOwnership chosen
    Indicates that an entity is owned, controlled, or held as property by a municipal (city or local) government.
  • B. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • C. isMunicipalSectorOf
    Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
  • D. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • E. isMunicipalStatus
    Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bc69d48190b185d4b8f4089922 completed April 28, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
Created at: April 16, 2026, 8:38 p.m.