Triple

T1055682
Position Surface form Disambiguated ID Type / Status
Subject 1960 United States presidential election E22795 entity
Predicate popularVotesReceivedByRichardNixon P9220 FINISHED
Object 34108984 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: 34108984 | Statement: [1960 United States presidential election, popularVotesReceivedByRichardNixon, 34108984]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularVotesReceivedByRichardNixon
Context triple: [1960 United States presidential election, popularVotesReceivedByRichardNixon, 34108984]
  • A. 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.
  • B. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • C. Richard Nixon role
    Indicates the specific official position, job, or capacity in which Richard Nixon served or acted.
  • D. wonPresidentialElection
    Indicates that one entity achieved victory over others in a presidential 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b731e25c8190b5ea8466648c2c9a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.