Triple

T10775751
Position Surface form Disambiguated ID Type / Status
Subject western Sudan E254192 entity
Predicate hasPart P35 FINISHED
Object South 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: South Darfur | Statement: [western Sudan, hasPart, South Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Darfur
Context triple: [western Sudan, hasPart, South Darfur]
  • A. South Kordofan
    South Kordofan is a conflict-affected state in central Sudan known for its ethnic diversity, Nuba Mountains region, and complex political and humanitarian challenges.
  • B. 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.
  • C. Dongolawi
    Dongolawi is a Nubian language spoken primarily along the Nile in northern Sudan, known for its role in preserving the cultural and linguistic heritage of the Nubian people.
  • D. eastern Sudan
    Eastern Sudan is a region of Sudan along the Red Sea coast, known for its strategic port city of Port Sudan and its ethnically diverse, largely arid landscapes.
  • E. North Kordofan State
    North Kordofan State is a large, predominantly rural region in central Sudan known for its semi-arid savannah landscape, agriculture, and livestock herding.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6a7b8c481908249acfffc97b08a completed April 18, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:16 p.m.