Triple

T3199615
Position Surface form Disambiguated ID Type / Status
Subject Philippine languages E67018 entity
Predicate includesLanguage P2177 FINISHED
Object Bikol E12341 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: Bikol | Statement: [Philippine languages, includesLanguage, Bikol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bikol
Context triple: [Philippine languages, includesLanguage, Bikol]
  • A. Bikol language chosen
    The Bikol language is an Austronesian language spoken primarily in the Bicol Region of the Philippines, known for its several regional varieties and close relation to other Central Philippine languages.
  • B. Pangasinan language
    The Pangasinan language is an Austronesian language spoken primarily in the province of Pangasinan and nearby areas in the Philippines, known for its distinct vocabulary and grammar within the Northern Luzon language group.
  • C. Waray of Samar
    Waray of Samar is a major regional language variety spoken on the island of Samar in the Eastern Visayas region of the Philippines.
  • D. Kapampangan
    Kapampangan is an Austronesian language spoken primarily in the Pampanga region of the Philippines by the Kapampangan ethnic group.
  • E. Bukidnon
    Bukidnon is a landlocked, mountainous province in the Philippines known for its vast agricultural plantations, cool climate, and scenic highland landscapes.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2621d3bcc8190abf84310bc118757 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.