Triple

T36460644
Position Surface form Disambiguated ID Type / Status
Subject 1965 Sudanese parliamentary election E898278 entity
Predicate includedCandidate P138743 FINISHED
Object Fatima Ahmed Ibrahim E259665 NE 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: Fatima Ahmed Ibrahim | Statement: [1965 Sudanese parliamentary election, includedCandidate, Fatima Ahmed Ibrahim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includedCandidate
Context triple: [1965 Sudanese parliamentary election, includedCandidate, Fatima Ahmed Ibrahim]
  • A. candidateFor
    Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
  • B. isCandidate chosen
    Indicates that an entity is being considered or put forward for a particular position, role, or selection process.
  • C. targetCandidate
    Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
  • D. excludedCandidate
    Indicates that a particular candidate has been removed from consideration or disqualified from a selection process.
  • E. eligibleAppointees
    Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
  • F. None of above.

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_69f76e57f08481908593bd0bc34581c8 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6cf0dbc81909c386ccae549fe00 completed June 23, 2026, 1:52 a.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.