Triple

T4636480
Position Surface form Disambiguated ID Type / Status
Subject Mimaropa E101544 entity
Predicate hasIslandProvince P57880 FINISHED
Object Marinduque E188574 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: Marinduque | Statement: [Mimaropa, hasIslandProvince, Marinduque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marinduque
Context triple: [Mimaropa, hasIslandProvince, Marinduque]
  • A. Marinduque chosen
    Marinduque is an island province in the Philippines known for its heart-shaped geography and the annual Moriones Festival.
  • B. 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.
  • C. 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.
  • D. Catanduanes
    Catanduanes is an island province in the Bicol Region of the Philippines known for its rugged coastlines, surfing beaches, and predominantly Bikol-speaking population.
  • E. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6234e8108190b985270b9ddd1f3a completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89c2485881908797f4a3560a0b04 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:13 p.m.