Triple

T4335131
Position Surface form Disambiguated ID Type / Status
Subject Mayon Volcano E97444 entity
Predicate near P350 FINISHED
Object Daraga
Daraga is a municipality in Albay province in the Philippines, known as a gateway town to the iconic Mayon Volcano and home to the historic Daraga Church.
 E430673 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: Daraga | Statement: [Mayon Volcano, near, Daraga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daraga
Context triple: [Mayon Volcano, near, Daraga]
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • E. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • 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: Daraga
Triple: [Mayon Volcano, near, Daraga]
Generated description
Daraga is a municipality in Albay province in the Philippines, known as a gateway town to the iconic Mayon Volcano and home to the historic Daraga Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daraga
Target entity description: Daraga is a municipality in Albay province in the Philippines, known as a gateway town to the iconic Mayon Volcano and home to the historic Daraga Church.
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • E. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35152bfc88190ab5d53ca38f98d8a completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a9967481908828ceeb76ce4cbf completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d14748108190a6f5d4aebaa83ed6 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1b610888190bccace493224c373 completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:14 p.m.