Triple

T17248941
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Douai E418697 entity
Predicate hasTypeOfLocalAdministration P57402 FINISHED
Object state administration 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: state administration | Statement: [arrondissement of Douai, hasTypeOfLocalAdministration, state administration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfLocalAdministration
Context triple: [arrondissement of Douai, hasTypeOfLocalAdministration, state administration]
  • A. isLocalGovernment
    Indicates that an entity functions as a governing body with authority over a specific local or regional area within a larger political system.
  • B. hasLocalGovernmentTier
    Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
  • C. hasLocalGovernmentOffice
    Indicates that a local government office is present or established within a specified location or jurisdiction.
  • D. hasLocalGovernanceType chosen
    Indicates the specific form or system of local governance that applies to an entity.
  • E. hasLocalGovernmentJurisdictionOver
    Indicates that one governmental body possesses official authority to administer, regulate, and make binding decisions over a specific geographic area or population.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2636f48190b29548ff80402bef completed April 19, 2026, 1:21 a.m.
PD Predicate disambiguation batch_69e3832553ac819091aa917c84f755b6 completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:39 a.m.