Triple

T2085140
Position Surface form Disambiguated ID Type / Status
Subject 1996 United States presidential election E45331 entity
Predicate popularVotesReceivedByRunnerUp P1227 FINISHED
Object 39,197,469 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: 39,197,469 | Statement: [1996 United States presidential election, popularVotesReceivedByRunnerUp, 39,197,469]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVotesReceivedByRunnerUp
Context triple: [1996 United States presidential election, popularVotesReceivedByRunnerUp, 39,197,469]
  • A. popularVoteRunnerUp chosen
    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.
  • B. electoralVoteRunnerUp
    Indicates that the subject is the candidate who received the second-highest number of electoral votes in a given election.
  • C. popularVoteLoser
    Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
  • D. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • E. popularVotePercentageLoser
    Indicates the percentage of the total popular vote received by the candidate or party that did not win the election.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba53d4488190a7d9eabcb6904e8e completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:41 p.m.