Triple

T22320465
Position Surface form Disambiguated ID Type / Status
Subject Batan Island E551769 entity
Predicate partOf P40 FINISHED
Object Batanes province 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: Batanes province | Statement: [Batan Island, partOf, Batanes province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batanes province
Context triple: [Batan Island, partOf, Batanes province]
  • A. Province of Batanes chosen
    The Province of Batanes is the northernmost and smallest province of the Philippines, known for its rugged landscapes, traditional Ivatan culture, and frequent exposure to powerful typhoons.
  • B. Batanes Islands
    The Batanes Islands are a remote archipelago in the northern Philippines known for their rugged landscapes, stone houses, and unique Ivatan culture.
  • C. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • D. Camiguin Province
    Camiguin Province is an island province in the Philippines known for its volcanic landscape, including the active Hibok-Hibok Volcano, hot and cold springs, and rich natural attractions.
  • E. 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.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15763bf0881908d859f85b4a6ce28 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.