Triple

T9745306
Position Surface form Disambiguated ID Type / Status
Subject Macajalar Bay E236290 entity
Predicate hasCoastalMunicipality P41457 FINISHED
Object Balingasag
Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
 E848205 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: Balingasag | Statement: [Macajalar Bay, hasCoastalMunicipality, Balingasag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balingasag
Context triple: [Macajalar Bay, hasCoastalMunicipality, Balingasag]
  • A. Dipaculao
    Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
  • B. Kidapawan
    Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
  • C. Apayao
    Apayao is a landlocked, mountainous province in the northern Philippines known for its rich indigenous culture, forests, and river systems.
  • D. Baliuag
    Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
  • E. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • 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: Balingasag
Triple: [Macajalar Bay, hasCoastalMunicipality, Balingasag]
Generated description
Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balingasag
Target entity description: Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • A. Dipaculao
    Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
  • B. Kidapawan
    Kidapawan is a city in the Philippines that serves as the capital of Cotabato province on the island of Mindanao.
  • C. Apayao
    Apayao is a landlocked, mountainous province in the northern Philippines known for its rich indigenous culture, forests, and river systems.
  • D. Baliuag
    Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
  • E. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2f8e648190ad94c940f9dc1de0 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d354af200881909b08ab9b71d0d53f completed April 6, 2026, 6:37 a.m.
NEDg Description generation batch_69d3554d2c5c819089ed65a218c00177 completed April 6, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69d355a329948190977d68224cc4a5bb completed April 6, 2026, 6:41 a.m.
Created at: March 30, 2026, 8:23 p.m.