Triple

T101019
Position Surface form Disambiguated ID Type / Status
Subject 1932 United States presidential election E2039 entity
Predicate popularVotePercentageLoser P6370 FINISHED
Object 39.7% 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: 39.7% | Statement: [1932 United States presidential election, popularVotePercentageLoser, 39.7%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVotePercentageLoser
Context triple: [1932 United States presidential election, popularVotePercentageLoser, 39.7%]
  • A. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
  • B. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • C. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • D. 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.
  • E. hooverPopularVotePercentage
    Indicates the percentage of the total popular vote that was received by Hoover in an election.
  • F. None of above. chosen

Provenance (4 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a2563921f8819087f720b1c803579f completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575d8a648190ad8e10d4b04e5e07 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.