Triple

T21320038
Position Surface form Disambiguated ID Type / Status
Subject Loreto Department E525586 entity
Predicate containsCity P294 FINISHED
Object Caballococha
Caballococha is a small Peruvian town in the Amazon rainforest near the borders with Brazil and Colombia, known for its nearby lake and role as a local river port.
 E1477315 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: Caballococha | Statement: [Loreto Department, containsCity, Caballococha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caballococha
Context triple: [Loreto Department, containsCity, Caballococha]
  • A. Morococha
    Morococha is a high-altitude mining town in the central highlands of Peru, known for its significant copper and polymetallic mining operations.
  • B. Puchuncaví
    Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
  • C. Hualqui
    Hualqui is a Chilean town and commune in the Biobío Region, located near Concepción and serving as a local rail terminus on the Biotrén commuter network.
  • D. Llacolén
    Llacolén is a locality in Chile whose name is commemorated by the Llacolén Bridge.
  • E. Chimbarongo
    Chimbarongo is a Chilean town and municipality in the O'Higgins Region, known for its traditional wicker craftsmanship and agricultural activities.
  • 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: Caballococha
Triple: [Loreto Department, containsCity, Caballococha]
Generated description
Caballococha is a small Peruvian town in the Amazon rainforest near the borders with Brazil and Colombia, known for its nearby lake and role as a local river port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caballococha
Target entity description: Caballococha is a small Peruvian town in the Amazon rainforest near the borders with Brazil and Colombia, known for its nearby lake and role as a local river port.
  • A. Morococha
    Morococha is a high-altitude mining town in the central highlands of Peru, known for its significant copper and polymetallic mining operations.
  • B. Puchuncaví
    Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
  • C. Hualqui
    Hualqui is a Chilean town and commune in the Biobío Region, located near Concepción and serving as a local rail terminus on the Biotrén commuter network.
  • D. Llacolén
    Llacolén is a locality in Chile whose name is commemorated by the Llacolén Bridge.
  • E. Chimbarongo
    Chimbarongo is a Chilean town and municipality in the O'Higgins Region, known for its traditional wicker craftsmanship and agricultural activities.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecfb7d481909cb73f95c3ddd9ed completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a099edfe15c8190bd52334727acd245 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f69f1e08190bf96197fcf42b897 completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a099feeda3481909d8020763f32d430 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:39 p.m.