Triple

T4117407
Position Surface form Disambiguated ID Type / Status
Subject 2012 United States presidential election E90325 entity
Predicate electoralVotesReceivedByMittRomney P27351 FINISHED
Object 206 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: 206 | Statement: [2012 United States presidential election, electoralVotesReceivedByMittRomney, 206]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVotesReceivedByMittRomney
Context triple: [2012 United States presidential election, electoralVotesReceivedByMittRomney, 206]
  • A. electoralVotesReceived chosen
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • B. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • C. electoralVoteFor
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
  • D. 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.
  • E. rankInElectoralCollege
    Indicates the position or standing an entity holds within the ordering of members in an electoral college for a given election or context.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0246e40081908ad6741a830ca68e completed March 9, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69af01867698819098e4144634b2ec4f completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:41 p.m.