Triple

T16510191
Position Surface form Disambiguated ID Type / Status
Subject Portuguese presidential election, 1980 E401039 entity
Predicate winningVoteShare P36641 FINISHED
Object 56.44% 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: 56.44% | Statement: [Portuguese presidential election, 1980, winningVoteShare, 56.44%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winningVoteShare
Context triple: [Portuguese presidential election, 1980, winningVoteShare, 56.44%]
  • A. presidentialVoteShareWinner
    Indicates that the subject is the candidate (or party) who received the highest share of votes in a presidential election within the specified context.
  • B. popularVoteShare
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • C. popularVoteWinner
    Indicates that the subject is the candidate who received the highest number of individual votes cast by the electorate in an election.
  • D. hasPopularVotePercentageForWinner chosen
    Indicates the percentage of the total popular vote received by the winning candidate or option in an election or vote.
  • E. rulingPartyPopularVotePercentage
    Indicates the percentage of the total popular vote received by the party currently in power or holding the ruling position.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.