Triple

T32071967
Position Surface form Disambiguated ID Type / Status
Subject French municipal elections E819034 entity
Predicate majorityBonus P192758 FINISHED
Object 50% of seats to leading list in communes of 1000+ inhabitants 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: 50% of seats to leading list in communes of 1000+ inhabitants | Statement: [French municipal elections, majorityBonus, 50% of seats to leading list in communes of 1000+ inhabitants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorityBonus
Context triple: [French municipal elections, majorityBonus, 50% of seats to leading list in communes of 1000+ inhabitants]
  • A. majorityAllocation chosen
    Indicates that a specified portion or share constitutes more than half of the total allocation among the related entities.
  • B. majorityType
    Indicates that one type or category constitutes more than half of the instances within a given set or context.
  • C. majorityPosition
    Indicates that the referenced position is held by more than half of the relevant group or decision-making body.
  • D. votedWithMajorityIn
    Indicates that an entity cast its vote in alignment with the majority decision within a given voting event or body.
  • E. coversMajorityOf
    Indicates that one entity extends over or accounts for more than half of another entity’s area, volume, duration, or relevant measure.
  • 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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69febce5877c8190a5e000ef5331ec88 completed May 9, 2026, 4:49 a.m.
PD Predicate disambiguation batch_69febad1cd588190abc7686bcb39a371 completed May 9, 2026, 4:40 a.m.
Created at: May 1, 2026, 12:23 a.m.