Triple

T3855801
Position Surface form Disambiguated ID Type / Status
Subject Cebuano people E90010 entity
Predicate majorCity P316 FINISHED
Object Mandaue 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 | Statement: [Cebuano people, majorCity, Mandaue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandaue
Context triple: [Cebuano people, majorCity, Mandaue]
  • 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. Canlaon
    Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
  • 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. 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. Dalaguete
    Dalaguete is a coastal municipality in the province of Cebu in the Philippines, known for its cool highland areas and vegetable farming.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec07d45081909b8f3e35eb710f4c completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.