Triple

T28256882
Position Surface form Disambiguated ID Type / Status
Subject French presidential election, 2012 E712472 entity
Predicate secondRoundOpponentOfWinner P58701 FINISHED
Object Nicolas Sarkozy NE NERFINISHED

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: Nicolas Sarkozy | Statement: [French presidential election, 2012, secondRoundOpponentOfWinner, Nicolas Sarkozy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondRoundOpponentOfWinner
Context triple: [French presidential election, 2012, secondRoundOpponentOfWinner, Nicolas Sarkozy]
  • A. secondRoundWinner
    Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
  • B. secondRoundRunnerUp
    Indicates that an entity finished in third place (runner-up to the runner-up) in the second round of a competition or selection process.
  • C. thirdRoundOpponent
    Indicates that one entity is the opponent faced by another entity in the third round of a competition or tournament.
  • D. mainOpponentPartyInSecondRound chosen
    Indicates that an entity serves as the primary opposing party to another entity in the second round of a competition, election, or contest.
  • E. mainOpponentAllianceInSecondRound
    Indicates that an entity’s primary opponent is part of a specified alliance during the second round of a competition or 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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: April 27, 2026, 11:08 p.m.