Triple

T331163
Position Surface form Disambiguated ID Type / Status
Subject Metrobús E6627 entity
Predicate line6Terminus P11514 FINISHED
Object Villa de Aragón
Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
 E42361 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: Villa de Aragón | Statement: [Metrobús, line6Terminus, Villa de Aragón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villa de Aragón
Context triple: [Metrobús, line6Terminus, Villa de Aragón]
  • A. Villa Las Estrellas
    Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
  • B. Villeta
    Villeta is a Colombian town and municipality in the department of Cundinamarca, known for its warm climate and sugarcane production.
  • C. Finca Vigía
    Finca Vigía is the former Cuban home of American writer Ernest Hemingway, now preserved as a museum just outside Havana.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • 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: Villa de Aragón
Triple: [Metrobús, line6Terminus, Villa de Aragón]
Generated description
Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villa de Aragón
Target entity description: Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
  • A. Villa Las Estrellas
    Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
  • B. Villeta
    Villeta is a Colombian town and municipality in the department of Cundinamarca, known for its warm climate and sugarcane production.
  • C. Finca Vigía
    Finca Vigía is the former Cuban home of American writer Ernest Hemingway, now preserved as a museum just outside Havana.
  • D. Boyeros
    Boyeros is a municipality in Havana, Cuba, known for hosting the country’s main international gateway, José Martí International Airport.
  • E. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee028c488190ad0109510de2956d completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cff160788190a49faad3c011965e completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d0dff47881909b2dc7002b16e1cd completed March 1, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a3d15c60d4819091d615246267a2a7 completed March 1, 2026, 5:40 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.