Triple

T14503602
Position Surface form Disambiguated ID Type / Status
Subject Pangasinan E340205 entity
Predicate hasMunicipality P847 FINISHED
Object Balungao
Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
E1107886 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: Balungao | Statement: [Pangasinan, hasMunicipality, Balungao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balungao
Context triple: [Pangasinan, hasMunicipality, Balungao]
  • A. Buruanga
    Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
  • B. Binongko
    Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
  • C. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • D. Balangao Bontok
    Balangao Bontok is an indigenous Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • E. Mbalanhu
    Mbalanhu is a Bantu language variety spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
  • 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: Balungao
Triple: [Pangasinan, hasMunicipality, Balungao]
Generated description
Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Balungao
Target entity description: Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
  • A. Buruanga
    Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
  • B. Binongko
    Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
  • C. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • D. Balangao Bontok
    Balangao Bontok is an indigenous Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • E. Mbalanhu
    Mbalanhu is a Bantu language variety spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a7187c81909f173c2fb70509f5 completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd96860ba48190af21941197a97c97 completed May 8, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd974aa0688190916c8d79a68809ee completed May 8, 2026, 7:56 a.m.
Created at: April 10, 2026, 1:21 a.m.