Triple

T13048751
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Norte E327393 entity
Predicate hasMunicipality P847 FINISHED
Object Batac E987127 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: Batac | Statement: [Ilocos Norte, hasMunicipality, Batac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batac
Context triple: [Ilocos Norte, hasMunicipality, Batac]
  • A. Batac chosen
    Batac is a city in the Ilocos Region of the Philippines known for its historical significance and cultural heritage.
  • B. 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.
  • C. Cauayan
    Cauayan is a rapidly developing component city located in the province of Isabela in the Cagayan Valley region of the Philippines.
  • D. Balanga City
    Balanga City is a component city in the province of Bataan, Philippines, known for its historical significance in World War II and its role as the provincial capital.
  • E. Pagbilao
    Pagbilao is a coastal municipality in the province of Quezon, Philippines, known for its power plant, beaches, and mangrove forests.
  • 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_69fd6d6fde508190865a8e3e391fdf5e completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:57 p.m.