Triple

T9554477
Position Surface form Disambiguated ID Type / Status
Subject Visayan languages E230506 entity
Predicate hasLanguage P15 FINISHED
Object Cuyonon language E179459 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: Cuyonon language | Statement: [Visayan languages, hasLanguage, Cuyonon language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuyonon language
Context triple: [Visayan languages, hasLanguage, Cuyonon language]
  • A. Cuyonon language chosen
    Cuyonon is an Austronesian language of the Central Philippine (Bisayan) group, traditionally spoken by the Cuyonon people of the Cuyo Islands and parts of Palawan in the Philippines.
  • B. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • C. Cupeno language
    The Cupeño language is an endangered Uto-Aztecan language historically spoken by the Cupeño people of Southern California.
  • D. Kuanua language
    The Kuanua language is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Kuy language
    Kuy language is an Austroasiatic language spoken by the Kuy people of Southeast Asia, primarily in Thailand, Laos, and Cambodia.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd992412148190b092bd9918764d5f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:03 p.m.