Triple

T22998166
Position Surface form Disambiguated ID Type / Status
Subject Northern Philippines E572559 entity
Predicate hasLanguage P15 FINISHED
Object Bontoc language 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: Bontoc language | Statement: [Northern Philippines, hasLanguage, Bontoc language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bontoc language
Context triple: [Northern Philippines, hasLanguage, Bontoc language]
  • A. Bontoc language chosen
    The Bontoc language is an Austronesian language spoken by the Bontoc people of the Mountain Province in the northern Philippines.
  • B. Butuanon language
    The Butuanon language is an Austronesian language spoken primarily in and around Butuan City in Mindanao, Philippines.
  • C. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • D. Agusan Manobo language
    Agusan Manobo language is an Austronesian language spoken by the Manobo people of northeastern Mindanao in the Philippines.
  • E. Maranao language
    The Maranao language is an Austronesian language spoken primarily by the Maranao people around Lake Lanao in Mindanao, Philippines.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f54ce88190930530958e2a1830 completed April 29, 2026, 4:03 a.m.
Created at: April 17, 2026, 3:50 p.m.