Triple

T1645614
Position Surface form Disambiguated ID Type / Status
Subject South African general election, 1994 E35574 entity
Predicate NPVoteShare P9216 FINISHED
Object approximately 20.4 percent 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: approximately 20.4 percent | Statement: [South African general election, 1994, NPVoteShare, approximately 20.4 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: NPVoteShare
Context triple: [South African general election, 1994, NPVoteShare, approximately 20.4 percent]
  • A. popularVoteShare chosen
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • B. popularVoteShareThird
    Indicates the proportion of total popular votes received by the third-place candidate or option in an election.
  • C. presidentialVote
    Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
  • D. smithPopularVotePercentage
    Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting context.
  • E. popularVoteMargin
    Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a919306fd48190a245fc95e0e759d9 completed March 5, 2026, 5:48 a.m.
PD Predicate disambiguation batch_69a907cc9d348190b76b0d3f596e5a81 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.