Triple

T13048749
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Norte E327393 entity
Predicate largestCity P235 FINISHED
Object Laoag E408728 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: Laoag | Statement: [Ilocos Norte, largestCity, Laoag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laoag
Context triple: [Ilocos Norte, largestCity, Laoag]
  • A. Laoag chosen
    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.
  • B. 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.
  • C. Tuguegarao City
    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.
  • D. Meycauayan
    Meycauayan is a highly urbanized city in the Philippine province of Bulacan known for its jewelry and leather industries.
  • E. Cabanatuan City
    Cabanatuan City is a highly urbanized commercial and transportation hub in the Philippine province of Nueva Ecija, historically known as the "Tricycle Capital of the Philippines."
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f1f80648190a4a0e8260ac95194 completed May 9, 2026, 4:21 p.m.
Created at: April 9, 2026, 8:57 p.m.