Triple

T13048756
Position Surface form Disambiguated ID Type / Status
Subject Ilocos Norte E327393 entity
Predicate hasMunicipality P847 FINISHED
Object Badoc
Badoc is a coastal municipality in the province of Ilocos Norte in the Philippines, known as the birthplace of national artist Juan Luna and for its historic churches and beaches.
 E1018286 NE FINISHED

How this triple was built (4 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: Badoc | Statement: [Ilocos Norte, hasMunicipality, Badoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badoc
Context triple: [Ilocos Norte, hasMunicipality, Badoc]
  • A. Gatotkaca
    Gatotkaca is a powerful, flying warrior hero from the Mahabharata epic, especially revered in Javanese and Balinese traditions.
  • B. Batad
    Batad is a village in the Ifugao province of the Philippines, known for its terraced rice fields and indigenous culture.
  • C. Purchaman
    Purchaman is a village-level settlement located in Afghanistan's western Farah Province.
  • D. Taguatinga
    Taguatinga is a major administrative region and commercial hub within Brazil’s Federal District, located near Brasília.
  • E. Kim Mã Ward
    Kim Mã Ward is an urban administrative subdivision of central Hanoi, Vietnam, known for its busy thoroughfares, embassies, and mix of commercial and residential areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Badoc
Triple: [Ilocos Norte, hasMunicipality, Badoc]
Generated description
Badoc is a coastal municipality in the province of Ilocos Norte in the Philippines, known as the birthplace of national artist Juan Luna and for its historic churches and beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badoc
Target entity description: Badoc is a coastal municipality in the province of Ilocos Norte in the Philippines, known as the birthplace of national artist Juan Luna and for its historic churches and beaches.
  • A. Gatotkaca
    Gatotkaca is a powerful, flying warrior hero from the Mahabharata epic, especially revered in Javanese and Balinese traditions.
  • B. Batad
    Batad is a village in the Ifugao province of the Philippines, known for its terraced rice fields and indigenous culture.
  • C. Purchaman
    Purchaman is a village-level settlement located in Afghanistan's western Farah Province.
  • D. Taguatinga
    Taguatinga is a major administrative region and commercial hub within Brazil’s Federal District, located near Brasília.
  • E. Kim Mã Ward
    Kim Mã Ward is an urban administrative subdivision of central Hanoi, Vietnam, known for its busy thoroughfares, embassies, and mix of commercial and residential areas.
  • F. None of above. chosen

Provenance (5 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_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd98d29c8190b33cb2cc6c477b1d completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:57 p.m.