Triple

T12657132
Position Surface form Disambiguated ID Type / Status
Subject First Lady of France E302313 entity
Predicate hasNoElectedMandate P90843 FINISHED
Object true 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: true | Statement: [First Lady of France, hasNoElectedMandate, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNoElectedMandate
Context triple: [First Lady of France, hasNoElectedMandate, true]
  • A. notElectedBy chosen
    Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
  • B. hasNoCurrentIncumbent
    Indicates that a position, role, or office currently has no person or entity occupying or holding it.
  • C. hasElectoralDignityIn
    Indicates that an entity holds or possesses electoral authority, status, or office within a specified political or electoral jurisdiction.
  • D. hasElectoralAuthority
    Indicates that an entity possesses the official power or legal right to oversee, manage, or make binding decisions about electoral processes or outcomes.
  • E. electedWithin
    Indicates that one entity was chosen or appointed to a position, office, or role within the jurisdiction, boundaries, or organizational scope of another 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:18 p.m.