Triple

T22253206
Position Surface form Disambiguated ID Type / Status
Subject Idhna E550029 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Nuba 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: Nuba | Statement: [Idhna, hasNearbyLocality, Nuba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuba
Context triple: [Idhna, hasNearbyLocality, Nuba]
  • A. Nuba chosen
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • B. Nuba Mountains
    The Nuba Mountains are a rugged, ethnically diverse region in central Sudan known for its long history of conflict, cultural richness, and strategic importance.
  • C. Moro Nuba
    Moro Nuba are an ethnic subgroup of the Nuba peoples of Sudan, known for their distinct language, cultural traditions, and residence in the Nuba Mountains region.
  • D. Kidepo Toposa
    Kidepo Toposa is a regional dialect of the Toposa language spoken by Toposa communities in the Kidepo area of South Sudan.
  • E. Ennedi
    Ennedi is a remote region in northeastern Chad renowned for its dramatic sandstone massifs, rock arches, and prehistoric rock art.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c003548190889860d6163eb873 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.