Triple

T554930
Position Surface form Disambiguated ID Type / Status
Subject Colombian Spanish E11921 entity
Predicate spokenInCity P8343 FINISHED
Object Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
 E73076 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: Medellín | Statement: [Colombian Spanish, spokenInCity, Medellín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Medellín
Context triple: [Colombian Spanish, spokenInCity, Medellín]
  • A. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • C. Anapoima
    Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
  • D. Cartagena, Colombia
    Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
  • E. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort 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: Medellín
Triple: [Colombian Spanish, spokenInCity, Medellín]
Generated description
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Medellín
Target entity description: Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • A. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • C. Anapoima
    Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
  • D. Cartagena, Colombia
    Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
  • E. Girardot
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991dd7008190a6c1bc8bc832456d completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e219c788190888ef02fad09096e completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50e8f3be48190afff999bc3fa9f8a completed March 2, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_69a50ee34654819097bc0f70bd59de4d completed March 2, 2026, 4:15 a.m.
Created at: March 1, 2026, 7:32 p.m.