Triple

T1226291
Position Surface form Disambiguated ID Type / Status
Subject Winnie Mandela E26333 entity
Predicate startTime_position_President_ANCWL P24715 FINISHED
Object 1993 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: 1993 | Statement: [Winnie Mandela, startTime_position_President_ANCWL, 1993]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startTime_position_President_ANCWL
Context triple: [Winnie Mandela, startTime_position_President_ANCWL, 1993]
  • A. endTimeOfPositionHeld: Prime Minister of South Africa
    Indicates the date and time when an individual's tenure as Prime Minister of South Africa ended.
  • B. currentChairStartDate
    Indicates the date on which the person’s current term as chair officially began.
  • C. startTimeOfPositionHeld: Prime Minister of South Africa
    Indicates the date and time when an individual began serving in the position of Prime Minister of South Africa.
  • D. hasExecutiveSeat
    Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
  • E. currentSpeakerAssumedOffice
    Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbf83584819088c69366f58586cc completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:47 p.m.