Triple

T6410343
Position Surface form Disambiguated ID Type / Status
Subject United States presidential election, 1916 E127687 entity
Predicate electoralVotesForCharlesEvansHughes P46276 FINISHED
Object 254 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: 254 | Statement: [United States presidential election, 1916, electoralVotesForCharlesEvansHughes, 254]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesForCharlesEvansHughes
Context triple: [United States presidential election, 1916, electoralVotesForCharlesEvansHughes, 254]
  • A. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • B. hasElectoralVotes
    Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
  • C. 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.
  • D. numberOfElectors
    Indicates the total count of electors associated with a given entity or 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cf81508190bc09e58ec45bc858 completed March 22, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69c060f40ecc8190b1df17b96767675c completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:41 p.m.