Triple

T12122024
Position Surface form Disambiguated ID Type / Status
Subject French legislative elections E288717 entity
Predicate secondRoundEligibility P92551 FINISHED
Object candidates with at least 12.5% of registered voters 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: candidates with at least 12.5% of registered voters | Statement: [French legislative elections, secondRoundEligibility, candidates with at least 12.5% of registered voters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondRoundEligibility
Context triple: [French legislative elections, secondRoundEligibility, candidates with at least 12.5% of registered voters]
  • A. secondRoundCandidate chosen
    Indicates that an entity has advanced past an initial selection stage and is being considered as a candidate in a second round of evaluation or decision-making.
  • B. includesSecondRound
    Indicates that the referenced process, event, or activity contains or involves a second round or phase as part of its structure.
  • C. secondRoundDate
    Indicates the date on which the second round of an event, process, or sequence is scheduled or occurs.
  • D. secondRoundEndDate
    Indicates the date on which the second round of an event, process, or activity concludes.
  • E. secondStage
    Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91841615c819097f20a7447a1b8f4 completed April 10, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69d91508f8008190b3a90ec0bf0953ca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:49 p.m.