Triple

T13057587
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Pastrana
Pastrana is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural landscape and rural communities.
E1018468 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: Pastrana | Statement: [Northern Leyte, containsCity, Pastrana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pastrana
Context triple: [Northern Leyte, containsCity, Pastrana]
  • A. Pastrana
    Pastrana is a historic town in central Spain known for its well-preserved medieval architecture and association with the Dukes of Pastrana and Princess of Éboli.
  • B. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • E. Fernando García
    Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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: Pastrana
Triple: [Northern Leyte, containsCity, Pastrana]
Generated description
Pastrana is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural landscape and rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pastrana
Target entity description: Pastrana is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural landscape and rural communities.
  • A. Pastrana
    Pastrana is a historic town in central Spain known for its well-preserved medieval architecture and association with the Dukes of Pastrana and Princess of Éboli.
  • B. Mazariegos
    Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • E. Fernando García
    Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:58 p.m.