Triple

T10179925
Position Surface form Disambiguated ID Type / Status
Subject 2022 French presidential election E235957 entity
Predicate winnerPoliticalPosition P56201 FINISHED
Object centrist 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: centrist | Statement: [2022 French presidential election, winnerPoliticalPosition, centrist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winnerPoliticalPosition
Context triple: [2022 French presidential election, winnerPoliticalPosition, centrist]
  • A. politicalPositionOnElectoralPolitics
    Indicates a stance or viewpoint an entity holds regarding participation in, support for, or opposition to electoral political processes and institutions.
  • B. politicalPositionAssociated chosen
    Indicates that there is an association between an entity and a specific political position, role, or office.
  • C. electoralPosition
    Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
  • D. hasPoliticalPositionOn
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • E. winnerParty
    Indicates the political party that has won a particular election, contest, or decision-making process.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69cd7c79f21c8190a7f31b2eab80b8ba completed April 1, 2026, 8:13 p.m.
Created at: March 30, 2026, 9:11 p.m.