Triple

T35250708
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Parliament of Uganda E1018085 entity
Predicate replacesOfficeHolder P33240 FINISHED
Object Jacob Oulanyah 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: Jacob Oulanyah | Statement: [Speaker of the Parliament of Uganda, replacesOfficeHolder, Jacob Oulanyah]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacesOfficeHolder
Context triple: [Speaker of the Parliament of Uganda, replacesOfficeHolder, Jacob Oulanyah]
  • A. electedReplacement
    Indicates that one entity has been chosen through an election process to take over the role, position, or function previously held by another entity.
  • B. replacedByOfficeHolderTitle
    Indicates that an office holder in a given position is succeeded in that role by another person identified by their official title.
  • C. electorReplacement
    Indicates that one elector is designated to replace or succeed another elector in fulfilling their role or duties.
  • D. officeHolderBecame
    Indicates that an individual assumed or transitioned into holding a particular office or official position.
  • E. successorOfficeHolder chosen
    Indicates that one office holder directly follows another in occupying the same official position.
  • 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_69f76de407d081909dfc3c419817ae93 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe031bc6208190860099aef72d8dcb completed May 8, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69fe014c8b388190b5d4e0cb95ee2be5 completed May 8, 2026, 3:29 p.m.
Created at: May 3, 2026, 4:02 p.m.