Triple

T13980539
Position Surface form Disambiguated ID Type / Status
Subject Bolinao E336296 entity
Predicate region P40 FINISHED
Object Western Pangasinan E466526 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: Western Pangasinan | Statement: [Bolinao, region, Western Pangasinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Pangasinan
Context triple: [Bolinao, region, Western Pangasinan]
  • A. Western Pangasinan chosen
    Western Pangasinan is a regional dialect of the Pangasinan language spoken in the western part of Pangasinan province in the Philippines.
  • B. Eastern Pangasinan
    Eastern Pangasinan is a regional dialect of the Pangasinan language spoken in the eastern part of Pangasinan province in the Philippines.
  • C. Southern Kapampangan
    Southern Kapampangan is a regional variety of the Kapampangan language spoken in the southern parts of its linguistic area in the Philippines.
  • D. Northern Kapampangan
    Northern Kapampangan is a regional variety of the Kapampangan language spoken primarily in the northern parts of Pampanga and nearby areas in the Philippines.
  • E. Norte Samareño
    Norte Samareño is the term used to refer to residents or natives of the Philippine province of Northern Samar.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.