Triple

T23112594
Position Surface form Disambiguated ID Type / Status
Subject Northern State E576360 entity
Predicate bordersInternalDivision P88527 FINISHED
Object North Darfur NE NERFINISHED

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: North Darfur | Statement: [Northern State, bordersInternalDivision, North Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Darfur
Context triple: [Northern State, bordersInternalDivision, North Darfur]
  • A. North Darfur chosen
    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.
  • B. 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.
  • 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. South Darfur
    South Darfur is a conflict-affected state in western Sudan known for its role in the Darfur crisis and its largely arid, rural landscape.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.