Triple

T16563963
Position Surface form Disambiguated ID Type / Status
Subject Sorsogon E402408 entity
Predicate hasMunicipality P847 FINISHED
Object Prieto Diaz
Prieto Diaz is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its rural communities and proximity to the Pacific Ocean.
E1232308 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: Prieto Diaz | Statement: [Sorsogon, hasMunicipality, Prieto Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prieto Diaz
Context triple: [Sorsogon, hasMunicipality, Prieto Diaz]
  • A. Ruiz Castillo
    Ruiz Castillo is a Spanish surname most notably borne by alpine skier Carolina Ruiz Castillo.
  • B. Díaz de la Peña
    Díaz de la Peña is the surname of Narcisse Virgilio Díaz de la Peña, a 19th-century French painter associated with the Barbizon school.
  • C. Juan Portillo
    Juan Portillo is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Portillo.
  • D. Antonio López Díaz
    Antonio López Díaz is a Spanish academic and university administrator who has served as rector of the historic University of Santiago de Compostela.
  • E. Fernando Medina
    Fernando Medina is a Portuguese economist and politician who served as Mayor of Lisbon and later became Portugal’s Minister of Finance.
  • 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: Prieto Diaz
Triple: [Sorsogon, hasMunicipality, Prieto Diaz]
Generated description
Prieto Diaz is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its rural communities and proximity to the Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prieto Diaz
Target entity description: Prieto Diaz is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its rural communities and proximity to the Pacific Ocean.
  • A. Ruiz Castillo
    Ruiz Castillo is a Spanish surname most notably borne by alpine skier Carolina Ruiz Castillo.
  • B. Díaz de la Peña
    Díaz de la Peña is the surname of Narcisse Virgilio Díaz de la Peña, a 19th-century French painter associated with the Barbizon school.
  • C. Juan Portillo
    Juan Portillo is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Portillo.
  • D. Antonio López Díaz
    Antonio López Díaz is a Spanish academic and university administrator who has served as rector of the historic University of Santiago de Compostela.
  • E. Fernando Medina
    Fernando Medina is a Portuguese economist and politician who served as Mayor of Lisbon and later became Portugal’s Minister of Finance.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3577043048190bc9bcf55069b769f completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a508505881909cb7582916ad037c completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a685753881908c3fef10823ce569 completed May 10, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7174f5c8190891ddd180c50aee3 completed May 10, 2026, 3:41 p.m.
Created at: April 10, 2026, 5:15 a.m.