Triple

T754072
Position Surface form Disambiguated ID Type / Status
Subject Barranco E15513 entity
Predicate borderedBy P224 FINISHED
Object Chorrillos
Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
 E99732 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: Chorrillos | Statement: [Barranco, borderedBy, Chorrillos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chorrillos
Context triple: [Barranco, borderedBy, Chorrillos]
  • A. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • B. Cercado de Lima
    Cercado de Lima is the historic central district of Lima, Peru, encompassing the city’s colonial core, main government buildings, and numerous cultural landmarks.
  • C. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • D. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • E. Miraflores
    Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
  • 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: Chorrillos
Triple: [Barranco, borderedBy, Chorrillos]
Generated description
Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chorrillos
Target entity description: Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
  • A. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • B. Cercado de Lima
    Cercado de Lima is the historic central district of Lima, Peru, encompassing the city’s colonial core, main government buildings, and numerous cultural landmarks.
  • C. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • D. Ñuñoa
    Ñuñoa is a commune in Santiago, Chile, known for its residential neighborhoods, cultural venues, and growing commercial and nightlife areas.
  • E. Miraflores
    Miraflores is an upscale coastal district of Lima, Peru, known for its shopping, dining, nightlife, and cliffside views over the Pacific Ocean.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79282d4d481908a2cb0f95a93220e completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7946b93088190adca99b9db74ca68 completed March 4, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69a794ea4fd0819099032d14f90dbca5 completed March 4, 2026, 2:11 a.m.
Created at: March 1, 2026, 7:37 p.m.