Triple

T20069555
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate hasMunicipality P847 FINISHED
Object Buenavista
Buenavista is a coastal municipality in the province of Quezon in the Philippines, known for its rural communities and agricultural economy.
E1410565 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: Buenavista | Statement: [Province of Quezon, hasMunicipality, Buenavista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buenavista
Context triple: [Province of Quezon, hasMunicipality, Buenavista]
  • A. Buenavista
    Buenavista is a major transit hub and neighborhood in Mexico City that serves as a key interchange point for metro, bus rapid transit, and commuter rail services.
  • B. Buenavista
    Buenavista is a coastal municipality on the island province of Marinduque in the Philippines, known for its rural communities and scenic seaside landscapes.
  • C. Buenavista
    Buenavista is a neighborhood located in the Mexican state of Guerrero.
  • D. Buenavista
    Buenavista is a coastal municipality on the island province of Guimaras in the Philippines, known for its scenic views and agricultural communities.
  • E. Buenavista
    Buenavista is a small coffee-growing municipality located in the mountainous Quindío Department of Colombia, known for its scenic landscapes and panoramic viewpoints.
  • 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: Buenavista
Triple: [Province of Quezon, hasMunicipality, Buenavista]
Generated description
Buenavista is a coastal municipality in the province of Quezon in the Philippines, known for its rural communities and agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buenavista
Target entity description: Buenavista is a coastal municipality in the province of Quezon in the Philippines, known for its rural communities and agricultural economy.
  • A. Buenavista
    Buenavista is a coastal municipality on the island province of Marinduque in the Philippines, known for its rural communities and scenic seaside landscapes.
  • B. Buenavista
    Buenavista is a coastal municipality on the island province of Guimaras in the Philippines, known for its scenic views and agricultural communities.
  • C. Buenavista
    Buenavista is a coastal municipality in the province of Agusan del Norte in the Caraga region of Mindanao, Philippines.
  • D. Buenavista
    Buenavista is a small coffee-growing municipality located in the mountainous Quindío Department of Colombia, known for its scenic landscapes and panoramic viewpoints.
  • E. Buenavista
    Buenavista is a neighborhood located in the Mexican state of Guerrero.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3acb7881908e23b1d066c35051 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fbb7f208190a032f9f312fd07de completed May 16, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:39 p.m.