Triple

T1259818
Position Surface form Disambiguated ID Type / Status
Subject 1948 United States presidential election E12471 entity
Predicate popularVotesWinner P9220 FINISHED
Object 24105529 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: 24105529 | Statement: [1948 United States presidential election, popularVotesWinner, 24105529]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVotesWinner
Context triple: [1948 United States presidential election, popularVotesWinner, 24105529]
  • A. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • B. popularVotes chosen
    Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
  • C. popularVoteLoser
    Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
  • D. popularVote
    Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
  • E. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc503e88190b237210a61228dd8 completed March 1, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69a4bb6eefbc81908dddd7d2ef368186 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:50 p.m.