Triple

T9483532
Position Surface form Disambiguated ID Type / Status
Subject Region VII E228704 entity
Predicate hasCity P316 FINISHED
Object Talisay City, Cebu E364591 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: Talisay City, Cebu | Statement: [Region VII, hasCity, Talisay City, Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talisay City, Cebu
Context triple: [Region VII, hasCity, Talisay City, Cebu]
  • A. Talisay City chosen
    Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
  • B. Talisay, Batangas
    Talisay, Batangas is a lakeside municipality in the Philippines known as a primary gateway to Taal Volcano and its scenic crater lake.
  • C. 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.
  • D. 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.
  • E. Lapu-Lapu City
    Lapu-Lapu City is a highly urbanized city in the province of Cebu in the Philippines, known for its historical significance as the site of the Battle of Mactan and as a major tourism and economic hub.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d59186308190b12c95d24f8486e6 completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 7:55 p.m.