Triple

T11714228
Position Surface form Disambiguated ID Type / Status
Subject 1860 United States presidential election E278450 entity
Predicate numberOfElectoralVotesNeededToWin P1229 FINISHED
Object 152 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: 152 | Statement: [1860 United States presidential election, numberOfElectoralVotesNeededToWin, 152]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfElectoralVotesNeededToWin
Context triple: [1860 United States presidential election, numberOfElectoralVotesNeededToWin, 152]
  • A. electoralVotesNeededToWin chosen
    Indicates the minimum number of electoral votes a candidate must obtain in an election to be declared the winner.
  • B. numberOfElectors
    Indicates the total count of electors associated with a given entity or context.
  • C. 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.
  • D. electoralVoteFor
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7d483081909c2a101087515d74 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.