Triple

T3380318
Position Surface form Disambiguated ID Type / Status
Subject 2017 Chilean presidential election E71165 entity
Predicate secondRoundWinnerVoteSharePercentage P36641 FINISHED
Object 54.58 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: 54.58 | Statement: [2017 Chilean presidential election, secondRoundWinnerVoteSharePercentage, 54.58]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondRoundWinnerVoteSharePercentage
Context triple: [2017 Chilean presidential election, secondRoundWinnerVoteSharePercentage, 54.58]
  • A. secondRoundWinner
    Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
  • B. hasPopularVotePercentageForWinner chosen
    Indicates the percentage of the total popular vote received by the winning candidate or option in an election or vote.
  • 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. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • E. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5e7c7f48190afb78c311b424c93 completed March 8, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69ada434bae48190a77ea37f9274ad8f completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.