Triple

T29672589
Position Surface form Disambiguated ID Type / Status
Subject Jubilee Party of Kenya E750714 entity
Predicate heldOfficeOfPresident P167582 FINISHED
Object Uhuru Kenyatta NE NERFINISHED

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: Uhuru Kenyatta | Statement: [Jubilee Party of Kenya, heldOfficeOfPresident, Uhuru Kenyatta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heldOfficeOfPresident
Context triple: [Jubilee Party of Kenya, heldOfficeOfPresident, Uhuru Kenyatta]
  • A. hasPresidentialOffice
    Indicates that an entity holds or is assigned the official office or position of a president.
  • B. hadMajorPresidency
    Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
  • C. designationAsPresidentWas
    Indicates that an entity was formally appointed or recognized as president of another entity at a particular time or under specific conditions.
  • D. servedAsPresidentDuring
    Indicates that a person held the office of president for the duration of a specified time period or event.
  • E. presidencyHeldBy
    Indicates that a specific presidency or presidential office is occupied or held by a particular person.
  • 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_69f0d624d7b08190ba237d226f78d0d9 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672598730819093b766fd418e1c08 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 28, 2026, 7:05 p.m.