Triple

T13207033
Position Surface form Disambiguated ID Type / Status
Subject Camotes Islands E314390 entity
Predicate hasMunicipality P847 FINISHED
Object Pilar, Cebu E261545 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: Pilar, Cebu | Statement: [Camotes Islands, hasMunicipality, Pilar, Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilar, Cebu
Context triple: [Camotes Islands, hasMunicipality, Pilar, Cebu]
  • A. Pilar, Cebu chosen
    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.
  • B. Pilar, Capiz
    Pilar, Capiz is a coastal municipality in the province of Capiz in the Philippines, known for its fishing industry and rural agricultural communities.
  • C. Malabuyoc, Cebu
    Malabuyoc, Cebu is a coastal municipality in southwestern Cebu, Philippines, known for its hot springs, waterfalls, and agricultural landscape.
  • D. Tudela, Cebu
    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. San Fernando, Cebu
    San Fernando, Cebu is a coastal municipality in the province of Cebu in the Philippines, situated within the greater Metropolitan Cebu area and known for its mix of industrial zones and rural communities.
  • 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_69f70a3017bc8190b5481bf02684e861 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:17 p.m.