Triple

T11062180
Position Surface form Disambiguated ID Type / Status
Subject Consolacion E261533 entity
Predicate locatedNear P294 FINISHED
Object Mandaue City E261524 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: Mandaue City | Statement: [Consolacion, locatedNear, Mandaue City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandaue City
Context triple: [Consolacion, locatedNear, Mandaue City]
  • A. Mandaue City chosen
    Mandaue City is a highly urbanized and industrialized city in Metro Cebu in the central Philippines, known as a major commercial and manufacturing hub in the region.
  • B. 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.
  • C. Talisay City
    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.
  • D. Cebu
    Cebu is a major island and province in the central Philippines known for its historic role in Spanish colonization, vibrant urban center Cebu City, and popular beach and dive tourism.
  • E. Catbalogan
    Catbalogan is a coastal city in the Philippines that serves as the capital and commercial hub of Samar province.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798eb838c819089a89c55209c0295 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c887d2148190b19c91b6eb548494 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.