Triple

T15978231
Position Surface form Disambiguated ID Type / Status
Subject Nuba peoples E387505 entity
Predicate region P40 FINISHED
Object Nuba Mountains E404068 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: Nuba Mountains | Statement: [Nuba peoples, region, Nuba Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuba Mountains
Context triple: [Nuba peoples, region, Nuba Mountains]
  • A. Nuba Mountains chosen
    The Nuba Mountains are a rugged, ethnically diverse region in central Sudan known for its long history of conflict, cultural richness, and strategic importance.
  • B. Nuba
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. Bamileke Plateau
    The Bamileke Plateau is a highland region in western Cameroon known for its fertile volcanic soils, dense rural settlements, and the culturally rich Bamileke people.
  • D. Nafusa Mountains
    The Nafusa Mountains are a rugged mountain range in northwestern Libya, known for their Berber communities, historical resistance movements, and strategic position overlooking the Tripolitanian plain.
  • E. Guinea Highlands
    The Guinea Highlands is a mountainous region in West Africa known for its rich mineral resources and as the headwaters of several major rivers, including the Niger.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.