Triple

T13207031
Position Surface form Disambiguated ID Type / Status
Subject Camotes Islands E314390 entity
Predicate hasMunicipality P847 FINISHED
Object Poro, Cebu E262716 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: Poro, Cebu | Statement: [Camotes Islands, hasMunicipality, Poro, Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poro, Cebu
Context triple: [Camotes Islands, hasMunicipality, Poro, Cebu]
  • A. Malabuyoc, Cebu
    Malabuyoc, Cebu is a coastal municipality in southwestern Cebu, Philippines, known for its hot springs, waterfalls, and agricultural landscape.
  • B. Pilar, Cebu
    Pilar, Cebu is a small island municipality in the Camotes Sea known for its rural coastal communities and tranquil, less-developed environment compared to mainland Cebu.
  • C. Miagao, Iloilo
    Miagao, Iloilo is a coastal municipality in the Philippines best known for its UNESCO-listed Miagao Church, a landmark of Baroque architecture with rich historical and cultural significance.
  • D. Tudela, Cebu chosen
    Tudela, Cebu is a small coastal municipality in the province of Cebu in the Philippines, located on the island of Poro in the Camotes Sea.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.