Triple

T14772307
Position Surface form Disambiguated ID Type / Status
Subject Maire E347163 entity
Predicate higherLevelOffice P105847 FINISHED
Object président du conseil départemental 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: président du conseil départemental | Statement: [Maire, higherLevelOffice, président du conseil départemental]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: higherLevelOffice
Context triple: [Maire, higherLevelOffice, président du conseil départemental]
  • A. higherHouse
    Indicates that one entity is a legislative chamber that holds a higher rank or greater authority than another chamber within the same parliamentary or governmental system.
  • B. hasTopOffice
    Indicates that an entity holds the highest-ranking office or position within a specified organization, institution, or jurisdiction.
  • C. laterOffice
    Indicates that one office or term of office occurs chronologically after another office or term.
  • D. higherLevelBody chosen
    Indicates that one body or organizational unit functions at a higher or more encompassing level of authority or structure relative to another.
  • E. mainOffice
    Indicates that one location or office serves as the primary or central office for an organization or entity.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.