Triple

T1454794
Position Surface form Disambiguated ID Type / Status
Subject 1976 United States presidential election E31373 entity
Predicate popularVoteMarginPercentage P8454 FINISHED
Object 2.1 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: 2.1 | Statement: [1976 United States presidential election, popularVoteMarginPercentage, 2.1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteMarginPercentage
Context triple: [1976 United States presidential election, popularVoteMarginPercentage, 2.1]
  • A. popularVoteMargin chosen
    Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
  • B. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • C. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
  • D. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • E. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57fead881909a47188ce7312406 completed March 1, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69a4c47cdbd0819092022344a2f4ad7b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.