Triple

T4636674
Position Surface form Disambiguated ID Type / Status
Subject Ibanag E101548 entity
Predicate spokenIn P2266 FINISHED
Object Cagayan Province E478223 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: Cagayan Province | Statement: [Ibanag, spokenIn, Cagayan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cagayan Province
Context triple: [Ibanag, spokenIn, Cagayan Province]
  • A. Cagayan Province chosen
    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.
  • B. Quirino Province
    Quirino Province is a landlocked province in the Cagayan Valley region of the Philippines known for its mountainous terrain, caves, and river systems.
  • C. Camarines Norte
    Camarines Norte is a province in the Bicol Region of the Philippines known for its gold mining history, Pacific coastline, and islands with white-sand beaches.
  • D. 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.
  • E. 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.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf832e0da88190aa6b09dd88fb6157 completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 1:13 p.m.