Triple

T10373908
Position Surface form Disambiguated ID Type / Status
Subject Moss municipality E244452 entity
Predicate hasMunicipalCouncilMembers P2433 FINISHED
Object 49 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: 49 | Statement: [Moss municipality, hasMunicipalCouncilMembers, 49]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalCouncilMembers
Context triple: [Moss municipality, hasMunicipalCouncilMembers, 49]
  • A. hasCouncillors
    Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
  • B. hasCityCouncil
    Indicates that an entity is governed or administered by a specific city council.
  • C. hasNumberOfCouncillors chosen
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • D. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • E. hasParliamentMembers
    Indicates that a governing body or political entity possesses or is represented by one or more members in a parliament.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dface5508190a7b42f01ad0a19a2 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 12:02 p.m.