Triple

T6134175
Position Surface form Disambiguated ID Type / Status
Subject 1952 United States presidential election E136792 entity
Predicate EisenhowerElectoralVotes P46276 FINISHED
Object 442 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: 442 | Statement: [1952 United States presidential election, EisenhowerElectoralVotes, 442]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: EisenhowerElectoralVotes
Context triple: [1952 United States presidential election, EisenhowerElectoralVotes, 442]
  • A. EisenhowerPopularVote
    Indicates that the subject received a specified share or count of the popular vote in an election involving Dwight D. Eisenhower.
  • B. EisenhowerPopularVotePercentage
    Indicates the percentage of the total popular vote that was received by Eisenhower in a given election.
  • C. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • D. electoralVotesReceived
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • E. electoralVoteFor chosen
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c7f34d081909e589b201b22be21 completed March 22, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c055f19b0c81908be34a00ab218723 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:15 p.m.