Triple

T6924073
Position Surface form Disambiguated ID Type / Status
Subject Enschede E160259 entity
Predicate municipalCouncilSeats P2433 FINISHED
Object 39 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: 39 | Statement: [Enschede, municipalCouncilSeats, 39]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalCouncilSeats
Context triple: [Enschede, municipalCouncilSeats, 39]
  • A. seatOfRegionalCouncil
    Indicates that a location serves as the administrative center or headquarters of a regional council.
  • B. municipalRepresentation
    Indicates that one entity serves as the official municipal-level representative or governing body for another entity within a specific locality or jurisdiction.
  • C. hasNumberOfCouncillors chosen
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • D. legislativeCouncilSeats
    Indicates the number of seats held or allocated in a legislative council within a given political or administrative context.
  • E. councilLocation
    Indicates that a governing council is located or based at a particular place or venue.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69c6d7bb577c81908ee8b415b4281f3d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:26 p.m.