Triple

T6400271
Position Surface form Disambiguated ID Type / Status
Subject Ivasayen Ivatan E144043 entity
Predicate hasRegion P285 FINISHED
Object Batanes province 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 province | Statement: [Ivasayen Ivatan, hasRegion, Batanes province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batanes province
Context triple: [Ivasayen Ivatan, hasRegion, Batanes province]
  • 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. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • C. Oriental Mindoro
    Oriental Mindoro is a province in the Mimaropa region of the Philippines known for its agricultural economy, coastal communities, and popular tourist destinations like Puerto Galera.
  • D. Cagayan Province
    Cagayan Province is a large agricultural and coastal province in the Cagayan Valley region of northern Luzon in the Philippines, known for its fertile plains, historical churches, and access to the Babuyan Channel.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068994354819086cd51b661137f5a completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640bcc94c81909efb0253e8c0e7f5 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:35 p.m.