Triple

T5615527
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate hasMember P10 FINISHED
Object Kayan language E141258 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: Kayan language | Statement: [Kayanic languages, hasMember, Kayan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayan language
Context triple: [Kayanic languages, hasMember, Kayan language]
  • A. Kayan language chosen
    The Kayan language is an Austronesian language spoken by the Kayan people of Borneo, particularly in parts of Indonesia and Malaysia.
  • B. Kedayan language
    The Kedayan language is an Austronesian language spoken primarily by the Kedayan people of Brunei, Sabah, and parts of Borneo, closely related to Malay and other Greater North Borneo languages.
  • C. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Kaidipang language
    The Kaidipang language is an Austronesian language spoken by the Kaidipang people in northern Sulawesi, Indonesia.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ab9cc8190a01c5309e6cfc598 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.