Triple

T6770352
Position Surface form Disambiguated ID Type / Status
Subject 1872 United States presidential election E155026 entity
Predicate popularVoteCountOpponent P73183 FINISHED
Object 2834440 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: 2834440 | Statement: [1872 United States presidential election, popularVoteCountOpponent, 2834440]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteCountOpponent
Context triple: [1872 United States presidential election, popularVoteCountOpponent, 2834440]
  • A. voteShareMainOpponent
    Indicates the proportion of total votes received by the primary opposing candidate or party in an election.
  • B. popularVoteLoserTotal
    Indicates that the subject is the candidate who lost the election overall but received the specified total number of popular votes.
  • C. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • 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. popularVoteOutcome
    Indicates the result of a popular vote, specifying which option or candidate received the majority or winning share of votes.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2347fb48190a44c03317b5ecfd7 completed March 27, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1d5f1908190989efc8a2d18c965 completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 2:13 p.m.