Triple

T5743881
Position Surface form Disambiguated ID Type / Status
Subject Sibuyan Sea E126680 entity
Predicate borderedBy P224 FINISHED
Object Panay E279151 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: Panay | Statement: [Sibuyan Sea, borderedBy, Panay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panay
Context triple: [Sibuyan Sea, borderedBy, Panay]
  • A. Panay chosen
    Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
  • B. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • C. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • D. Jitra
    Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02586b25c819083c409ce324268cc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e27ba848190b0c289a804b865cd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.