Triple

T9483537
Position Surface form Disambiguated ID Type / Status
Subject Region VII E228704 entity
Predicate hasCity P316 FINISHED
Object Guihulngan City E335670 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: Guihulngan City | Statement: [Region VII, hasCity, Guihulngan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guihulngan City
Context triple: [Region VII, hasCity, Guihulngan City]
  • A. Guihulngan chosen
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • B. Sorsogon City
    Sorsogon City is a coastal component city in the Philippines known as the capital of Sorsogon province and a gateway to the Bicol Region’s southernmost attractions.
  • 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. Calapan
    Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
  • E. Legazpi City
    Legazpi City is a coastal city in the Philippines known as the regional center of the Bicol Region and famed for its views of the Mayon Volcano.
  • 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_69d20cbe7fb88190a945870540d4c973 completed April 5, 2026, 7:18 a.m.
Created at: March 30, 2026, 7:55 p.m.