Triple

T2593511
Position Surface form Disambiguated ID Type / Status
Subject United States presidential election, 1972 E58178 entity
Predicate popularVoteWinnerTotal P9220 FINISHED
Object 47,168,710 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: 47,168,710 | Statement: [United States presidential election, 1972, popularVoteWinnerTotal, 47,168,710]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVoteWinnerTotal
Context triple: [United States presidential election, 1972, popularVoteWinnerTotal, 47,168,710]
  • 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. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • C. 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.
  • D. popularVote
    Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
  • E. popularVoteType
    Indicates the specific method or category by which a popular vote is conducted or classified in an election or decision process.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd426e2d4819081a07920b4d2a1cc completed March 7, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69abd0d344988190a18dd93b13e002e6 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.