Triple

T35258239
Position Surface form Disambiguated ID Type / Status
Subject Adams E1018293 entity
Predicate municipalityClass P108590 FINISHED
Object 5th class municipality 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: 5th class municipality | Statement: [Adams, municipalityClass, 5th class municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalityClass
Context triple: [Adams, municipalityClass, 5th class municipality]
  • A. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • B. isPartOfMunicipalityType chosen
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • C. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • D. 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).
  • E. municipalCountrySubdivision
    Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
  • 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_69f76de407d081909dfc3c419817ae93 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f69942c8190b7e5098a528948c4 completed May 3, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69f78e2f52e08190a77661223a96c601 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.