Triple

T11869307
Position Surface form Disambiguated ID Type / Status
Subject San Martín Region E282364 entity
Predicate containsCity P294 FINISHED
Object Juanjuí
Juanjuí is a small city in northern Peru known as a gateway to the Amazon rainforest and the Huallaga River basin.
 E951083 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: Juanjuí | Statement: [San Martín Region, containsCity, Juanjuí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Juanjuí
Context triple: [San Martín Region, containsCity, Juanjuí]
  • A. Ciudad de Corrientes
    Ciudad de Corrientes is the capital city of the Corrientes Province in northeastern Argentina, known for its colonial architecture and location along the Paraná River.
  • B. Catanduva
    Catanduva is a municipality in the northwestern region of the state of São Paulo, Brazil, known for its agricultural production and regional commercial importance.
  • C. Passo Fundo
    Passo Fundo is a mid-sized city in southern Brazil known as a regional economic, educational, and healthcare hub in the state of Rio Grande do Sul.
  • D. Paysandú
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • E. Luque
    Luque is a city in Paraguay, part of the Greater Asunción metropolitan area and known for its proximity to the country’s main international airport.
  • 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: Juanjuí
Triple: [San Martín Region, containsCity, Juanjuí]
Generated description
Juanjuí is a small city in northern Peru known as a gateway to the Amazon rainforest and the Huallaga River basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Juanjuí
Target entity description: Juanjuí is a small city in northern Peru known as a gateway to the Amazon rainforest and the Huallaga River basin.
  • A. Ciudad de Corrientes
    Ciudad de Corrientes is the capital city of the Corrientes Province in northeastern Argentina, known for its colonial architecture and location along the Paraná River.
  • B. Catanduva
    Catanduva is a municipality in the northwestern region of the state of São Paulo, Brazil, known for its agricultural production and regional commercial importance.
  • C. Passo Fundo
    Passo Fundo is a mid-sized city in southern Brazil known as a regional economic, educational, and healthcare hub in the state of Rio Grande do Sul.
  • D. Paysandú
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • E. Luque
    Luque is a city in Paraguay, part of the Greater Asunción metropolitan area and known for its proximity to the country’s main international airport.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
NEDg Description generation batch_69f28a92ac90819092eef473a49d329e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c462d888190a43e042b00921dbe completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.