Triple

T17256554
Position Surface form Disambiguated ID Type / Status
Subject Justice and Equality Movement E418896 entity
Predicate activeIn P1560 FINISHED
Object Darfur NE ONNED1

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: [Justice and Equality Movement, activeIn, Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darfur
Context triple: [Justice and Equality Movement, activeIn, 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. Kordofan
    Kordofan is a historical and geographical region in central Sudan known for its semi-arid savannah, diverse ethnic groups, and role as a traditional trade and agricultural area.
  • C. 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.
  • D. 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.
  • E. West Darfur
    West Darfur is a conflict-affected state in western Sudan, forming the western part of the larger Darfur region and bordering Chad.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ceb9c8190a4eeaf10e90cd5a0 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195461898819081b2b03f3f59043d in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:39 a.m.