Triple

T13048796
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Norte E327393 entity
Predicate borders P224 FINISHED
Object Apayao 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: Apayao | Statement: [Ilocos Norte, borders, Apayao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apayao
Context triple: [Ilocos Norte, borders, Apayao]
  • A. Apayao chosen
    Apayao is a landlocked, mountainous province in the northern Philippines known for its rich indigenous culture, forests, and river systems.
  • B. Benguet
    Benguet is a landlocked province in the northern Philippines known for its cool climate, mountainous terrain, and vegetable and strawberry farms centered around the city of Baguio.
  • C. Balingasag
    Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • D. Cagayan Province
    Cagayan Province is a large agricultural and coastal province in the Cagayan Valley region of northern Luzon in the Philippines, known for its fertile plains, historical churches, and access to the Babuyan Channel.
  • E. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
Created at: April 9, 2026, 8:57 p.m.