Triple

T20440752
Position Surface form Disambiguated ID Type / Status
Subject Calapan E501381 entity
Predicate hasProvince P285 FINISHED
Object Oriental Mindoro 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: Oriental Mindoro | Statement: [Calapan, hasProvince, Oriental Mindoro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriental Mindoro
Context triple: [Calapan, hasProvince, Oriental Mindoro]
  • A. Oriental Mindoro chosen
    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.
  • B. Occidental Mindoro
    Occidental Mindoro is a province in the Mimaropa region of the Philippines known for its agricultural economy, coastal communities, and proximity to the island of Mindoro’s rich marine and natural resources.
  • C. Romblon Island
    Romblon Island is a small island in the central Philippines known for its marble industry, coastal landscapes, and role as the capital island of Romblon province.
  • D. Marinduque
    Marinduque is an island province in the Philippines known for its heart-shaped geography and the annual Moriones Festival.
  • E. 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.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f2e8888190a2e0d6b2bf6c905d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.