Triple

T13073461
Position Surface form Disambiguated ID Type / Status
Subject Capul E329510 entity
Predicate knownFor P22 FINISHED
Object Inabaknon language E194113 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: Inabaknon language | Statement: [Capul, knownFor, Inabaknon language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inabaknon language
Context triple: [Capul, knownFor, Inabaknon language]
  • A. Inabaknon language chosen
    Inabaknon is an Austronesian language spoken primarily on Capul Island in Northern Samar, Philippines, notable for being distinct from neighboring Bisayan languages.
  • B. Baatonum language
    The Baatonum language is a Gur language spoken primarily by the Bariba people of Benin and neighboring areas of West Africa.
  • C. Kacipo-Bale language
    The Kacipo-Bale language is a Surmic language spoken by the Kacipo and Bale peoples of southwestern Ethiopia and neighboring regions of South Sudan.
  • D. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • E. Bakumpai language
    The Bakumpai language is an Austronesian language spoken by the Bakumpai people of central Kalimantan in Indonesia, closely related to other Dayak and Malayic languages of Borneo.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d981160e388190bab942a2ded2903e completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d606ac6481908d18a288d5eed472 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.