Triple

T10489641
Position Surface form Disambiguated ID Type / Status
Subject Gambela Region E247380 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Anuak language E347537 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: Anuak language | Statement: [Gambela Region, hasLocalLanguage, Anuak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anuak language
Context triple: [Gambela Region, hasLocalLanguage, Anuak language]
  • A. Anuak language chosen
    The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • B. Anuki language
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • C. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • D. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • E. Äynu language
    The Äynu language is a rare mixed Turkic–Iranian language spoken primarily by the Äynu ethnic minority in Xinjiang, China.
  • 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.