Triple

T29672530
Position Surface form Disambiguated ID Type / Status
Subject Uhuru Kenyatta E750713 entity
Predicate electionMajority P4520 FINISHED
Object 2013 presidential election majority vote in Kenya 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: 2013 presidential election majority vote in Kenya | Statement: [Uhuru Kenyatta, electionMajority, 2013 presidential election majority vote in Kenya]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electionMajority
Context triple: [Uhuru Kenyatta, electionMajority, 2013 presidential election majority vote in Kenya]
  • A. majorityInByElection
    Indicates that an entity holds or wins a majority of votes or seats in a specified by-election.
  • B. majorityPosition
    Indicates that the referenced position is held by more than half of the relevant group or decision-making body.
  • C. majoritySeats
    Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
  • D. majorityVote chosen
    Indicates that a decision or outcome is determined by the option receiving more than half of the votes among a group.
  • E. presidentialMajorityRequirement
    Indicates that a candidate must receive a specified minimum share of votes or support to be validly elected president.
  • 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_69f0d624d7b08190ba237d226f78d0d9 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: April 28, 2026, 7:05 p.m.