Triple

T16710301
Position Surface form Disambiguated ID Type / Status
Subject Chapinero E406089 entity
Predicate hasPart P35 FINISHED
Object Quinta Camacho
Quinta Camacho is a traditional, upscale residential and commercial neighborhood in Bogotá, Colombia, known for its English-style houses, tree-lined streets, and vibrant dining and nightlife options.
 E1230561 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: Quinta Camacho | Statement: [Chapinero, hasPart, Quinta Camacho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quinta Camacho
Context triple: [Chapinero, hasPart, Quinta Camacho]
  • A. Pacheco
    Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
  • B. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • C. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Beltrán
    Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
  • 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: Quinta Camacho
Triple: [Chapinero, hasPart, Quinta Camacho]
Generated description
Quinta Camacho is a traditional, upscale residential and commercial neighborhood in Bogotá, Colombia, known for its English-style houses, tree-lined streets, and vibrant dining and nightlife options.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quinta Camacho
Target entity description: Quinta Camacho is a traditional, upscale residential and commercial neighborhood in Bogotá, Colombia, known for its English-style houses, tree-lined streets, and vibrant dining and nightlife options.
  • A. Pacheco
    Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
  • B. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • C. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Beltrán
    Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009e08b56c8190833d5f64945a979b completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb06d6481909914286301f9b4db completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 5:20 a.m.