Triple

T9748654
Position Surface form Disambiguated ID Type / Status
Subject 1996 Ugandan presidential election E236379 entity
Predicate voteShareThirdCandidate P29081 FINISHED
Object approximately 2.1% 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 2.1% | Statement: [1996 Ugandan presidential election, voteShareThirdCandidate, approximately 2.1%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voteShareThirdCandidate
Context triple: [1996 Ugandan presidential election, voteShareThirdCandidate, approximately 2.1%]
  • A. popularVoteShareThird chosen
    Indicates the proportion of total popular votes received by the third-place candidate or option in an election.
  • B. popularVotesReceivedByThirdPlace
    Indicates the number of popular votes obtained by the candidate or option that finished in third place in an election or contest.
  • C. thirdPartyCandidate
    Indicates that an individual is a political candidate who is not affiliated with either of the two major or primary parties in a given electoral system.
  • D. electoralVotesThird
    Indicates the number of electoral votes received by the third-place candidate or party in an election.
  • E. thirdPartyPopularVote
    Indicates that the relationship concerns the share or count of votes received by candidates outside the two main parties 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69cd03cc128c81908b84ef224f858b4e completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:23 p.m.