Triple

T10876517
Position Surface form Disambiguated ID Type / Status
Subject Zimbabwean general election, 2013 E256812 entity
Predicate presidentialVotesPercentageMorganTsvangirai P96186 FINISHED
Object about 34% 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: about 34% | Statement: [Zimbabwean general election, 2013, presidentialVotesPercentageMorganTsvangirai, about 34%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presidentialVotesPercentageMorganTsvangirai
Context triple: [Zimbabwean general election, 2013, presidentialVotesPercentageMorganTsvangirai, about 34%]
  • A. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • B. referendumYesPercentage
    Indicates the percentage of votes cast in favor of the "yes" option in a referendum.
  • C. presidentialVote
    Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
  • D. AlliancePopularVoteShare
    Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
  • E. presidentialVoteShareWinner
    Indicates that the subject is the candidate (or party) who received the highest share of votes in a presidential election within the specified 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ac901881909938cabe4d21bdbf completed April 9, 2026, 7:13 a.m.
PD Predicate disambiguation batch_69d70d360c388190a3d829fe8862434f completed April 9, 2026, 2:21 a.m.
PDg Predicate description generation batch_69d7101de31c819090707635f6790559 completed April 9, 2026, 2:34 a.m.
Created at: April 8, 2026, 9:21 p.m.