Triple

T10489326
Position Surface form Disambiguated ID Type / Status
Subject Maba language E247372 entity
Predicate region P40 FINISHED
Object Ouaddaï region E760055 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: Ouaddaï region | Statement: [Maba language, region, Ouaddaï region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouaddaï region
Context triple: [Maba language, region, Ouaddaï region]
  • A. Ouaddaï Region chosen
    Ouaddaï Region is an administrative region in eastern Chad known for its historical sultanate, diverse ethnic groups, and location near the Sudanese border.
  • B. Butana region
    The Butana region is a semi-arid plateau in eastern Sudan known for its ancient Nubian archaeological sites and historic role as a pastoral and trade area.
  • C. Beni region
    The Beni region is a lowland area in northeastern Bolivia known for its vast savannas, wetlands, and indigenous communities, including the Itonama people.
  • D. Omusati Region
    Omusati Region is an administrative region in northwestern Namibia known for its predominantly rural communities, subsistence agriculture, and proximity to the Angolan border.
  • E. Erongo Region
    Erongo Region is an administrative region on Namibia’s central western coast, known for its Atlantic shoreline, desert landscapes, and the coastal town of Swakopmund.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.