Triple

T19887138
Position Surface form Disambiguated ID Type / Status
Subject Ibanag people E477928 entity
Predicate traditionalRegion P1968 FINISHED
Object Tuguegarao area 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: Tuguegarao area | Statement: [Ibanag people, traditionalRegion, Tuguegarao area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuguegarao area
Context triple: [Ibanag people, traditionalRegion, Tuguegarao area]
  • A. Tuguegarao City chosen
    Tuguegarao City is a major urban and commercial center in northeastern Luzon in the Philippines, known for its hot climate and role as a regional hub for education, trade, and government services.
  • B. Laoag
    Laoag is a coastal city in northern Luzon, Philippines, known as the capital of Ilocos Norte and a regional center for commerce, education, and tourism.
  • C. Laoag
    Laoag is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
  • D. Ilagan City
    Ilagan City is a component city in the province of Isabela in the Philippines, known as an agricultural and commercial hub in the Cagayan Valley region.
  • E. Kabankalan
    Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590b12c08190bf44a3f3b2cb9122 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.