Triple

T28447663
Position Surface form Disambiguated ID Type / Status
Subject Andenne E715885 entity
Predicate hasMunicipalCouncilSize P2433 FINISHED
Object 29 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: 29 | Statement: [Andenne, hasMunicipalCouncilSize, 29]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalCouncilSize
Context triple: [Andenne, hasMunicipalCouncilSize, 29]
  • A. hasMunicipalCouncilType
    Indicates the specific form or structure of municipal council governance that an administrative unit uses.
  • B. hasMunicipalCouncilUntil
    Indicates that a municipal council served as the governing body of an entity up to a specified end date or point in time.
  • C. hasNumberOfCouncillors chosen
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • D. usedToHaveMunicipalCouncil
    Indicates that an entity previously had, but no longer has, a municipal council as its local governing body.
  • E. hasMunicipalWards
    Indicates that a municipality is divided into and associated with one or more municipal wards as its internal administrative units.
  • 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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: April 28, 2026, 1:50 a.m.