Triple

T9139698
Position Surface form Disambiguated ID Type / Status
Subject Línea 2 del Metrobús de la Ciudad de México E219291 entity
Predicate hasStation P35 FINISHED
Object Río Frío
Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
 E849126 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: Río Frío | Statement: [Línea 2 del Metrobús de la Ciudad de México, hasStation, Río Frío]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Frío
Context triple: [Línea 2 del Metrobús de la Ciudad de México, hasStation, Río Frío]
  • A. Río Frío
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • B. Río Seco
    Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
  • C. Río Baluarte
    Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
  • D. Río Lajas
    Río Lajas is a barrio (district) of the municipality of Dorado in Puerto Rico, known primarily as a local residential community.
  • E. Río Valles
    Río Valles is a river in the Huasteca Potosina region of Mexico, known for feeding several scenic waterfalls and supporting local ecosystems and tourism.
  • 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: Río Frío
Triple: [Línea 2 del Metrobús de la Ciudad de México, hasStation, Río Frío]
Generated description
Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Río Frío
Target entity description: Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • A. Río Frío
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • B. Río Seco
    Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
  • C. Río Baluarte
    Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
  • D. Río Lajas
    Río Lajas is a barrio (district) of the municipality of Dorado in Puerto Rico, known primarily as a local residential community.
  • E. Río Valles
    Río Valles is a river in the Huasteca Potosina region of Mexico, known for feeding several scenic waterfalls and supporting local ecosystems and tourism.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5a92795cc819087578d02c2c791e4 completed April 8, 2026, 1:02 a.m.
NEDg Description generation batch_69d5a9fb8150819099754db5262262fa completed April 8, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d5aa5356d48190a5db7d939c229cd7 completed April 8, 2026, 1:07 a.m.
Created at: March 30, 2026, 7:19 p.m.