Triple

T11741346
Position Surface form Disambiguated ID Type / Status
Subject Cuartero E279159 entity
Predicate hasRegionalCenterNearby P84435 FINISHED
Object Roxas City E250505 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: Roxas City | Statement: [Cuartero, hasRegionalCenterNearby, Roxas City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roxas City
Context triple: [Cuartero, hasRegionalCenterNearby, Roxas City]
  • A. Roxas City chosen
    Roxas City is a coastal city in the Philippines known as the "Seafood Capital of the Philippines" and serves as the capital of Capiz province in the Western Visayas region.
  • B. Surigao City
    Surigao City is a coastal city in the Caraga region of northeastern Mindanao in the Philippines, known as the “City of Island Adventures” for its numerous islands, beaches, and marine attractions.
  • C. Tayabas
    Tayabas is a historic city in the province of Quezon in the Calabarzon region of the Philippines, known for its Spanish-era heritage structures and cultural festivals.
  • D. Las Piñas City
    Las Piñas City is a highly urbanized city in Metro Manila, Philippines, known for its rapid residential and commercial development and its famous Bamboo Organ.
  • E. Danao City
    Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5c80cc819099b0ad7a2911781c completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:41 p.m.