Triple

T12364706
Position Surface form Disambiguated ID Type / Status
Subject 1868 United States presidential election E294830 entity
Predicate electoralVotesForHoratio Seymour P46276 FINISHED
Object 80 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: 80 | Statement: [1868 United States presidential election, electoralVotesForHoratio Seymour, 80]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesForHoratio Seymour
Context triple: [1868 United States presidential election, electoralVotesForHoratio Seymour, 80]
  • A. StephenADouglasElectoralVotes
    Indicates the number of electoral votes received by Stephen A. Douglas in a given election or electoral contest.
  • B. 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.
  • C. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • D. StephenADouglasPopularVotes
    Indicates the number of popular votes received by Stephen A. Douglas in a given election or electoral context.
  • E. electoralVotesReceived
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d942a2d6e08190a13c7ff89af09354 completed April 10, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69d93ecf6b548190a394b6b56a0c1c68 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.