Triple

T15806043
Position Surface form Disambiguated ID Type / Status
Subject Bikol Central E383218 entity
Predicate regionOfUse P82 FINISHED
Object Camarines Sur 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: Camarines Sur | Statement: [Bikol Central, regionOfUse, Camarines Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camarines Sur
Context triple: [Bikol Central, regionOfUse, Camarines Sur]
  • A. Camarines Sur chosen
    Camarines Sur is a province in the Bicol Region of the Philippines known for its rich Bikolano culture, religious heritage sites, and natural attractions such as lakes, mountains, and eco-tourism destinations.
  • B. Camarines Norte
    Camarines Norte is a province in the Bicol Region of the Philippines known for its gold mining history, Pacific coastline, and islands with white-sand beaches.
  • C. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • D. Batangas
    Batangas is a province in the Calabarzon region of the Philippines known for its beaches, diving spots, and the Taal Volcano.
  • E. Pangasinan
    Pangasinan is a populous coastal province in the Philippines known for its rich Ilocano and Pangasinense culture, agriculture, and tourism sites such as the Hundred Islands National Park.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
Created at: April 10, 2026, 4:48 a.m.