Triple

T22933513
Position Surface form Disambiguated ID Type / Status
Subject Butonese Wolio E569509 entity
Predicate belongsToSubgroup P1244 FINISHED
Object Muna–Buton 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: Muna–Buton languages | Statement: [Butonese Wolio, belongsToSubgroup, Muna–Buton languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muna–Buton languages
Context triple: [Butonese Wolio, belongsToSubgroup, Muna–Buton languages]
  • A. Muna–Buton languages chosen
    The Muna–Buton languages are a subgroup of Austronesian languages spoken primarily in southeastern Sulawesi and nearby islands in Indonesia.
  • B. Moru–Madi languages
    The Moru–Madi languages are a subgroup of related Central Sudanic languages spoken primarily in South Sudan, Uganda, and the Democratic Republic of the Congo.
  • C. Mumuye–Yendang languages
    The Mumuye–Yendang languages are a small group of closely related Adamawa languages spoken primarily in northeastern Nigeria.
  • D. Munda languages
    Munda languages are a branch of the Austroasiatic language family spoken primarily by indigenous communities in eastern and central India.
  • E. Mundang-Beti languages
    The Mundang-Beti languages are a subgroup of Northwest Bantu languages spoken primarily in parts of Central Africa, especially in Cameroon and neighboring regions.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.