Triple

T11114499
Position Surface form Disambiguated ID Type / Status
Subject Avokaya language E262848 entity
Predicate glottologName P6521 FINISHED
Object Avokaya E905147 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: Avokaya | Statement: [Avokaya language, glottologName, Avokaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avokaya
Context triple: [Avokaya language, glottologName, Avokaya]
  • A. Avokaya chosen
    Avokaya are an ethnic group of Central Africa, primarily living in South Sudan and the Democratic Republic of the Congo, known for speaking the Avokaya language.
  • B. Ayawa
    Ayawa is an alternative name for the Yao people, an ethnic group found primarily in parts of East and Southern Africa.
  • C. Avogaya
    Avogaya is an alternative name for the Avokaya language, a Central Sudanic language spoken primarily in South Sudan and the Democratic Republic of the Congo.
  • D. Avoca
    Avoca is a small city located in Pottawattamie County in southwestern Iowa, United States.
  • E. Aka-Bale
    Aka-Bale is an extinct Great Andamanese language once spoken by the indigenous Aka-Bale people of the Andaman Islands in India.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441cb16bc81908b5321506f655e38 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.