Triple

T11577846
Position Surface form Disambiguated ID Type / Status
Subject 1944 United States presidential election E274551 entity
Predicate electoralVoteToThomasEDewey P46276 FINISHED
Object 99 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: 99 | Statement: [1944 United States presidential election, electoralVoteToThomasEDewey, 99]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVoteToThomasEDewey
Context triple: [1944 United States presidential election, electoralVoteToThomasEDewey, 99]
  • A. 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.
  • B. electoralVotesReceived
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • C. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
  • D. RobertMLaFollettePopularVoteShare
    Indicates the proportion of the total popular vote that was received by Robert M. La Follette in a given election or electoral context.
  • E. resolvedElectoralVotesFrom
    Indicates that a set of electoral votes has been officially determined or allocated based on the outcome associated with a particular source (such as a state, district, or election event).
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.