Triple

T16172678
Position Surface form Disambiguated ID Type / Status
Subject Communes of Haute-Garonne E392477 entity
Predicate haveLocalServices P29056 FINISHED
Object municipal civil status office 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: municipal civil status office | Statement: [Communes of Haute-Garonne, haveLocalServices, municipal civil status office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveLocalServices
Context triple: [Communes of Haute-Garonne, haveLocalServices, municipal civil status office]
  • A. hasLocalService chosen
    Indicates that one entity provides or is associated with a service that operates within the local area or vicinity of another entity.
  • B. hasLocalServiceSection
    Indicates that an entity includes or is associated with a specific section dedicated to local service information or functionality.
  • C. hasCoreService
    Indicates that an entity provides, includes, or is associated with a primary or fundamental service that forms the central part of its offering or functionality.
  • D. hasLocalContext
    Indicates that something exists or occurs within a specific, surrounding situational or environmental context tied to a particular place or scope.
  • E. hasServiceFunction
    Indicates that an entity performs, provides, or is responsible for a particular service-related function or role.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.