Triple

T24730315
Position Surface form Disambiguated ID Type / Status
Subject 2007 French presidential election E618264 entity
Predicate resultSecondRoundVoteShareRunnerUp P47100 FINISHED
Object about 46.9% 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: about 46.9% | Statement: [2007 French presidential election, resultSecondRoundVoteShareRunnerUp, about 46.9%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultSecondRoundVoteShareRunnerUp
Context triple: [2007 French presidential election, resultSecondRoundVoteShareRunnerUp, about 46.9%]
  • A. secondRoundVoteShareOf
    Indicates the proportion of total votes an entity receives in the second round of a multi-round voting or election process.
  • B. secondRoundRunnerUpVoteSharePercentage chosen
    Indicates the percentage of total votes received by the candidate who finished as runner-up in the second round of a contest or election.
  • C. popularVoteRunnerUp
    Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
  • D. secondPartyPopularVoteShare
    Indicates the proportion of total popular votes received by the second party in an election.
  • E. popularVoteRunnerUpVotes
    Indicates the number of votes received by the candidate who finished second in the popular vote of an election.
  • 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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 4:02 a.m.