Triple

T15113784
Position Surface form Disambiguated ID Type / Status
Subject Tarok E360981 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Ngas E360980 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: Ngas | Statement: [Tarok, neighboringEthnicGroup, Ngas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngas
Context triple: [Tarok, neighboringEthnicGroup, Ngas]
  • A. Ngas chosen
    The Ngas are an ethnic group in central Nigeria known for their rich cultural traditions, distinctive language, and historical presence on the Jos Plateau.
  • B. Nganzai
    Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
  • C. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • D. Nassa
    Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
  • E. Tona
    Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.