Triple

T8093353
Position Surface form Disambiguated ID Type / Status
Subject South African general election, 1999 E188921 entity
Predicate winningPartyVoteShare P9216 FINISHED
Object approximately 66.4 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 66.4 percent | Statement: [South African general election, 1999, winningPartyVoteShare, approximately 66.4 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winningPartyVoteShare
Context triple: [South African general election, 1999, winningPartyVoteShare, approximately 66.4 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. AlliancePopularVoteShare
    Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
  • C. republicanPopularVoteShare
    Indicates the proportion of total votes in an election that were cast for the Republican Party.
  • D. secondPartyPopularVoteShare
    Indicates the proportion of total popular votes received by the second party in an election.
  • E. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4222b68c81909c8bc326763240d0 completed March 31, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69cb04a14cd88190a79ed26cbeec1c33 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:30 p.m.