Triple

T21011423
Position Surface form Disambiguated ID Type / Status
Subject 1997 Irish presidential election E517557 entity
Predicate countNumberOnWhichWinnerElected P142475 FINISHED
Object 2 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: 2 | Statement: [1997 Irish presidential election, countNumberOnWhichWinnerElected, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countNumberOnWhichWinnerElected
Context triple: [1997 Irish presidential election, countNumberOnWhichWinnerElected, 2]
  • A. delegateCountWinner
    Indicates that the referenced entity is the candidate or option that has secured the highest number of delegates in a given selection or election process.
  • B. winnerCount
    Indicates the number of entities that are designated as winners in a given context or event.
  • C. numberOfSeatsWon
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • D. numberOfBallots
    Indicates the total count of ballots associated with a particular election, contest, or voting event.
  • E. numberOfCandidates
    Indicates the total count of candidates associated with a given entity or context.
  • F. None of above. chosen

Provenance (4 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3fdf3c8190abd3db7f5eb503a0 completed April 21, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e5dbf274ac81909bbf245627dc8fdc completed April 20, 2026, 7:55 a.m.
PDg Predicate description generation batch_69e5e2df1a888190b5b478e76bdf7fdf completed April 20, 2026, 8:25 a.m.
Created at: April 16, 2026, 1:53 p.m.