Triple

T10490234
Position Surface form Disambiguated ID Type / Status
Subject Ateso E247396 entity
Predicate isRelatedTo P37 FINISHED
Object Nyangatom language E247397 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: Nyangatom language | Statement: [Ateso, isRelatedTo, Nyangatom language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyangatom language
Context triple: [Ateso, isRelatedTo, Nyangatom language]
  • A. Nyangatom language chosen
    The Nyangatom language is an Eastern Nilotic language spoken by the Nyangatom people of southwestern Ethiopia and southeastern South Sudan.
  • B. Nyangbo language
    The Nyangbo language is a Niger-Congo language spoken in Ghana, belonging to the Potou–Tano branch of the Kwa languages.
  • C. Nyang languages
    The Nyang languages are a small group of closely related Bantoid languages spoken primarily in parts of Cameroon.
  • D. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • E. Ta-ang language
    The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
  • 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_69d5097d61e08190952d4354ef1bce52 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.