Triple

T14502357
Position Surface form Disambiguated ID Type / Status
Subject Albay E340173 entity
Predicate localLanguage P1252 FINISHED
Object Central Bikol E67019 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: Central Bikol | Statement: [Albay, localLanguage, Central Bikol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Bikol
Context triple: [Albay, localLanguage, Central Bikol]
  • A. Central Bikol chosen
    Central Bikol is a major Austronesian language variety spoken in the Bicol Region of the Philippines, particularly around Naga City and nearby areas.
  • B. Albay Bikol
    Albay Bikol is a Central Philippine language spoken in the Albay province of the Bicol Region in the Philippines, closely related to other Bikol languages.
  • C. Bikol Central
    Bikol Central is a major Austronesian language spoken in the Bicol Region of the Philippines, particularly in and around the city of Naga in Camarines Sur.
  • D. Rinconada Bikol
    Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
  • E. Eastern Pangasinan
    Eastern Pangasinan is a regional dialect of the Pangasinan language spoken in the eastern part of Pangasinan province in the Philippines.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.