Triple

T27768383
Position Surface form Disambiguated ID Type / Status
Subject 1994 South African general election E701667 entity
Predicate percentageForNationalParty P98187 FINISHED
Object 20.39% 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: 20.39% | Statement: [1994 South African general election, percentageForNationalParty, 20.39%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageForNationalParty
Context triple: [1994 South African general election, percentageForNationalParty, 20.39%]
  • A. votesForNationalParty
    Indicates that an individual casts their vote in favor of a specified national-level political party.
  • B. rulingPartyPopularVotePercentage chosen
    Indicates the percentage of the total popular vote received by the party currently in power or holding the ruling position.
  • C. oppositionPercentage
    Indicates the proportion of entities or participants that are in opposition to a given proposal, action, or subject relative to the whole.
  • D. PACVoteSharePercentage
    Indicates the percentage of total votes that were cast for a specific political action committee (PAC) in an election or decision-making process.
  • E. partyNumber
    Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 4:32 p.m.