Triple

T12358471
Position Surface form Disambiguated ID Type / Status
Subject Abdullahi Umar Ganduje E294670 entity
Predicate termStartAsGovernorOfKanoState P25420 FINISHED
Object 2015-05-29 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: 2015-05-29 | Statement: [Abdullahi Umar Ganduje, termStartAsGovernorOfKanoState, 2015-05-29]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termStartAsGovernorOfKanoState
Context triple: [Abdullahi Umar Ganduje, termStartAsGovernorOfKanoState, 2015-05-29]
  • A. termStartAsGovernor chosen
    Indicates the date or point in time when an individual begins their term serving in the role of governor.
  • B. termStartAsActingGovernor
    Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
  • C. governorateEstablished
    Indicates that a particular governorate (administrative region) was formally created or brought into official existence at a certain time or by a specific act.
  • D. currentGovernorStartDate
    Indicates the date on which the entity’s current governorship officially began.
  • E. startTimeAsLieutenantGovernor
    Indicates the date and time at which an individual began serving in the role of lieutenant governor.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d942a2d6e08190a13c7ff89af09354 completed April 10, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69d93ecf6b548190a394b6b56a0c1c68 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.