Triple

T27348958
Position Surface form Disambiguated ID Type / Status
Subject 2010 Polish presidential election E684303 entity
Predicate winnerVoteShareSecondRound P101482 FINISHED
Object about 53.0% 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: about 53.0% | Statement: [2010 Polish presidential election, winnerVoteShareSecondRound, about 53.0%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winnerVoteShareSecondRound
Context triple: [2010 Polish presidential election, winnerVoteShareSecondRound, about 53.0%]
  • A. secondRoundVoteShareOf chosen
    Indicates the proportion of total votes an entity receives in the second round of a multi-round voting or election process.
  • B. secondRoundRunnerUpVoteSharePercentage
    Indicates the percentage of total votes received by the candidate who finished as runner-up in the second round of a contest or election.
  • C. secondPartyPopularVoteShare
    Indicates the proportion of total popular votes received by the second party in an election.
  • D. endorsedInSecondRound
    Indicates that an entity expressed support or approval for another entity specifically during the second round of a multi-round process (such as an election or selection).
  • E. firstRoundVoteShareWinnerPercentage
    Indicates the percentage of total votes received by the winning candidate or option in the first round of voting.
  • 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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f676c440708190a4b9974e95d2291a completed May 2, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f675fd59608190b246383435e68fce completed May 2, 2026, 10:09 p.m.
Created at: April 27, 2026, 11:47 a.m.