Triple

T22401126
Position Surface form Disambiguated ID Type / Status
Subject Sachaca District E553761 entity
Predicate capital P234 FINISHED
Object Sachaca
Sachaca is a town in southern Peru that serves as the administrative and urban center of the Sachaca District in the Arequipa region.
 E1533983 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: Sachaca | Statement: [Sachaca District, capital, Sachaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sachaca
Context triple: [Sachaca District, capital, Sachaca]
  • A. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • B. Capiatá
    Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
  • C. Latacunga
    Latacunga is a highland city in central Ecuador, known as the capital of Cotopaxi Province and a gateway to the Cotopaxi volcano.
  • D. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • E. Cañar
    Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
  • 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: Sachaca
Triple: [Sachaca District, capital, Sachaca]
Generated description
Sachaca is a town in southern Peru that serves as the administrative and urban center of the Sachaca District in the Arequipa region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sachaca
Target entity description: Sachaca is a town in southern Peru that serves as the administrative and urban center of the Sachaca District in the Arequipa region.
  • A. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • B. Capiatá
    Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
  • C. Latacunga
    Latacunga is a highland city in central Ecuador, known as the capital of Cotopaxi Province and a gateway to the Cotopaxi volcano.
  • D. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • E. Cañar
    Cañar is a city in Ecuador known for its rich indigenous Cañari heritage and nearby Inca archaeological site of Ingapirca.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b39c908190a735aa860d733869 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cd35648190a37c9814c581749e completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea9aad5c81908fca5ea2b594effb completed May 18, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb5137c08190b5b787c85f239a67 completed May 18, 2026, 10:34 a.m.
Created at: April 16, 2026, 8:46 p.m.