Triple

T16710337
Position Surface form Disambiguated ID Type / Status
Subject Chapinero E406089 entity
Predicate hasMajorAvenue P461 FINISHED
Object Calle 63
Calle 63 is a major thoroughfare in Bogotá, Colombia, running through the Chapinero locality and serving as an important urban connector.
E1229792 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: Calle 63 | Statement: [Chapinero, hasMajorAvenue, Calle 63]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle 63
Context triple: [Chapinero, hasMajorAvenue, Calle 63]
  • A. Calle 12
    Calle 12 is a historic street in Bogotá’s La Candelaria district, known for its colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Calle 10
    Calle 10 is a street in Bogotá’s historic center that passes important government and colonial-era buildings, including the Palacio de San Carlos.
  • C. Sebastián Yatra
    Sebastián Yatra is a Colombian singer and songwriter known for his romantic Latin pop and reggaeton hits across the Spanish-speaking world.
  • D. Calle 13
    Calle 13 is a Puerto Rican urban music duo known for their genre-blending sound, socially conscious lyrics, and multiple Latin Grammy Awards.
  • E. Jose Montaner
    Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
  • 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: Calle 63
Triple: [Chapinero, hasMajorAvenue, Calle 63]
Generated description
Calle 63 is a major thoroughfare in Bogotá, Colombia, running through the Chapinero locality and serving as an important urban connector.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calle 63
Target entity description: Calle 63 is a major thoroughfare in Bogotá, Colombia, running through the Chapinero locality and serving as an important urban connector.
  • A. Calle 12
    Calle 12 is a historic street in Bogotá’s La Candelaria district, known for its colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Calle 10
    Calle 10 is a street in Bogotá’s historic center that passes important government and colonial-era buildings, including the Palacio de San Carlos.
  • C. Sebastián Yatra
    Sebastián Yatra is a Colombian singer and songwriter known for his romantic Latin pop and reggaeton hits across the Spanish-speaking world.
  • D. Calle 13
    Calle 13 is a Puerto Rican urban music duo known for their genre-blending sound, socially conscious lyrics, and multiple Latin Grammy Awards.
  • E. Jose Montaner
    Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
  • 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_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00935ad86881908c45cdb513313a1d completed May 10, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a009a0bd7f8819090fb16d88108b96d completed May 10, 2026, 2:45 p.m.
Created at: April 10, 2026, 5:20 a.m.