Triple

T6576869
Position Surface form Disambiguated ID Type / Status
Subject Kaxabu language E157187 entity
Predicate relatedTo P37 FINISHED
Object Bunun language E138017 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: Bunun language | Statement: [Kaxabu language, relatedTo, Bunun language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunun language
Context triple: [Kaxabu language, relatedTo, Bunun language]
  • A. Bunun language chosen
    The Bunun language is an Austronesian language spoken by the Bunun indigenous people of central and southern Taiwan, known for its complex verb morphology and rich oral traditions.
  • B. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • C. Budong-Budong language
    The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
  • D. Boro language
    Boro language is a Tibeto-Burman language spoken primarily by the Boro people of Assam in northeastern India.
  • E. Buga language
    The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.