Triple

T2533642
Position Surface form Disambiguated ID Type / Status
Subject 1940 United States presidential election E56220 entity
Predicate RooseveltPopularVotePercentage P40923 FINISHED
Object 54.7% 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: 54.7% | Statement: [1940 United States presidential election, RooseveltPopularVotePercentage, 54.7%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: RooseveltPopularVotePercentage
Context triple: [1940 United States presidential election, RooseveltPopularVotePercentage, 54.7%]
  • 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. typicalPresidentialVote
    Indicates that the vote cast aligns with the usual or characteristic voting pattern observed in presidential elections.
  • C. conservativePopularVotePercentage
    Indicates the percentage of the total popular vote that was received by the Conservative party in a given election or contest.
  • D. presidentialVote
    Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
  • E. wonPresidentialElection
    Indicates that one entity achieved victory over others in a presidential 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd64a2194819097c66cbeb37fe859 completed March 7, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69abd0c4a5dc819097812db50443420a completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd648487881908ce8ca22def77294 completed March 7, 2026, 7:39 a.m.
Created at: March 6, 2026, 9:47 p.m.