Triple

T22098950
Position Surface form Disambiguated ID Type / Status
Subject Port of Cagayan de Oro E546115 entity
Predicate connectsTo P845 FINISHED
Object Tagbilaran NE NERFINISHED

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: Tagbilaran | Statement: [Port of Cagayan de Oro, connectsTo, Tagbilaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagbilaran
Context triple: [Port of Cagayan de Oro, connectsTo, Tagbilaran]
  • A. Tagbilaran chosen
    Tagbilaran is a coastal city on Bohol Island in the central Philippines, known as the province’s capital and a key hub for tourism and commerce in the Visayas region.
  • B. Catbalogan
    Catbalogan is a coastal city in the Philippines that serves as the capital and commercial hub of Samar province.
  • 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. Koronadal
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • E. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129131b4c8190b443bc820d9b5c61 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.