Triple

T37394050
Position Surface form Disambiguated ID Type / Status
Subject Biassou E928798 entity
Predicate causeOfRevolution P107944 FINISHED
Object opposition to slavery 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: opposition to slavery | Statement: [Biassou, causeOfRevolution, opposition to slavery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfRevolution
Context triple: [Biassou, causeOfRevolution, opposition to slavery]
  • A. endCauseOfRevolt
    Indicates that the subject is the cause or factor that brings a revolt or uprising to an end.
  • B. causeOfReform
    Indicates that one event, condition, or factor is the reason or driving force behind a particular reform or change in policy, structure, or practice.
  • C. motiveForUprising chosen
    Indicates that a particular factor, condition, or event serves as a motivating cause or justification for an uprising or rebellion.
  • D. relatedRevolution
    Indicates a relationship in which an entity is connected or relevant to a particular revolution, such as being a cause, consequence, participant, or significant contextual factor of that revolutionary event.
  • E. causeOfPoliticalRise
    Indicates that one entity is the reason or contributing factor behind another entity’s ascent or increase in political power or influence.
  • 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_69f76ebb10c481909b54b9dba263e29f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd64bc86848190a49f451a8fc5cf1e completed May 8, 2026, 4:21 a.m.
PD Predicate disambiguation batch_69fd5ff4a648819090756d90fd195d9a completed May 8, 2026, 4 a.m.
Created at: May 3, 2026, 4:16 p.m.