Triple

T6006630
Position Surface form Disambiguated ID Type / Status
Subject 1980 United States presidential election E133725 entity
Predicate popularVoteShareMainLoser P9216 FINISHED
Object about 41.0% 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 41.0% | Statement: [1980 United States presidential election, popularVoteShareMainLoser, about 41.0%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteShareMainLoser
Context triple: [1980 United States presidential election, popularVoteShareMainLoser, about 41.0%]
  • A. popularVoteLoserTotal
    Indicates that the subject is the candidate who lost the election overall but received the specified total number of popular votes.
  • B. popularVoteLoser
    Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
  • C. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • D. popularVoteShare chosen
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • E. popularVoteOutcome
    Indicates the result of a popular vote, specifying which option or candidate received the majority or winning share of votes.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f13d9908190a11d9bef8652db93 completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e4daf4819099bf870dc700e0a2 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:06 p.m.