Triple

T12708463
Position Surface form Disambiguated ID Type / Status
Subject Ann K. Curry E303649 entity
Predicate reportedFrom P9386 FINISHED
Object Darfur E256794 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: Darfur | Statement: [Ann K. Curry, reportedFrom, Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darfur
Context triple: [Ann K. Curry, reportedFrom, Darfur]
  • A. Darfur region chosen
    The Darfur region is a conflict-affected area in western Sudan known for its ethnic diversity, humanitarian crises, and international peacekeeping interventions.
  • B. North Darfur
    North Darfur is a conflict-affected state in western Sudan known for its arid landscape, scattered rural communities, and central role in the Darfur crisis.
  • C. West Darfur
    West Darfur is a conflict-affected state in western Sudan, forming the western part of the larger Darfur region and bordering Chad.
  • D. Central Darfur
    Central Darfur is a state in western Sudan, formed from the larger Darfur region and known for its ethnic diversity and history of conflict and humanitarian crises.
  • E. East Darfur
    East Darfur is a state in western Sudan that forms part of the conflict-affected Darfur region, known for its humanitarian crises and ethnic violence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b648f48190a29924c484713fc7 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.