Triple

T30273755
Position Surface form Disambiguated ID Type / Status
Subject 2018 Mexican general election E769873 entity
Predicate presidentialWinnerVoteShare P93616 FINISHED
Object about 53% of the vote 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 53% of the vote | Statement: [2018 Mexican general election, presidentialWinnerVoteShare, about 53% of the vote]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presidentialWinnerVoteShare
Context triple: [2018 Mexican general election, presidentialWinnerVoteShare, about 53% of the vote]
  • A. presidentialVoteShareWinner chosen
    Indicates that the subject is the candidate (or party) who received the highest share of votes in a presidential election within the specified context.
  • B. presidentialVote
    Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
  • C. republicanPopularVoteShare
    Indicates the proportion of total votes in an election that were cast for the Republican Party.
  • D. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • E. CalvinCoolidgePopularVoteShare
    Indicates the proportion of total popular votes received by Calvin Coolidge in a given election or electoral context.
  • 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_69f224856d9881908c7f0dd64f059672 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68f670b608190a0b6ab60d722b4e0 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 7:44 p.m.