Triple

T2789882
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Valley E61902 entity
Predicate hasProvince P285 FINISHED
Object Batanes E144042 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: Batanes | Statement: [Cagayan Valley, hasProvince, Batanes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batanes
Context triple: [Cagayan Valley, hasProvince, Batanes]
  • A. Batanes Islands chosen
    The Batanes Islands are a remote archipelago in the northern Philippines known for their rugged landscapes, stone houses, and unique Ivatan culture.
  • B. Pomorye
    Pomorye is a historical coastal region of northern Russia along the White Sea, traditionally inhabited by the Pomors and known for maritime trade and exploration.
  • C. Dinagat Islands
    Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
  • D. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • E. Marinduque
    Marinduque is an island province in the Philippines known for its heart-shaped geography and the annual Moriones Festival.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb4ef3081909122840a357801bf completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2249f50008190921040166f6036b9 completed March 12, 2026, 2:27 a.m.
Created at: March 6, 2026, 9:58 p.m.