Triple

T17548003
Position Surface form Disambiguated ID Type / Status
Subject Aka-Kol language E427379 entity
Predicate languageFamily P1047 FINISHED
Object Ongan languages NE NERFINISHED

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: Ongan languages | Statement: [Aka-Kol language, languageFamily, Ongan languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ongan languages
Context triple: [Aka-Kol language, languageFamily, Ongan languages]
  • A. Ongan languages chosen
    The Ongan languages are a small family of indigenous languages spoken by the Ongan peoples of the Andaman Islands in the Indian Ocean.
  • B. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • C. Angan languages
    The Angan languages are a group of closely related Papuan languages spoken primarily in the highlands of southeastern Papua New Guinea.
  • D. Angkuic languages
    The Angkuic languages are a subgroup of Austroasiatic languages spoken primarily in parts of Myanmar, China, and neighboring regions, known for their complex phonology and close relation to other Palaungic languages.
  • E. Oko languages
    Oko languages are a small group of closely related Niger-Congo languages spoken primarily in central Nigeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.