Triple

T2750630
Position Surface form Disambiguated ID Type / Status
Subject 1864 United States presidential election E60976 entity
Predicate electoralVotesForGeorgeBMcClellan P27351 FINISHED
Object 21 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: 21 | Statement: [1864 United States presidential election, electoralVotesForGeorgeBMcClellan, 21]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesForGeorgeBMcClellan
Context triple: [1864 United States presidential election, electoralVotesForGeorgeBMcClellan, 21]
  • A. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • B. electoralVotesReceived chosen
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • C. numberOfElectors
    Indicates the total count of electors associated with a given entity or context.
  • D. opponentElectoralVotes
    Indicates the number of electoral votes received by the opposing candidate or party in an election.
  • E. 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.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6b6f0c8190901ab032dfb21e37 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.