Triple

T3463263
Position Surface form Disambiguated ID Type / Status
Subject Medellín E73076 entity
Predicate hasRapidTransitSystem P32065 FINISHED
Object Medellín Metro E179170 NE FINISHED

How this triple was built (3 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 Metro | Statement: [Medellín, hasRapidTransitSystem, Medellín Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medellín Metro
Context triple: [Medellín, hasRapidTransitSystem, Medellín Metro]
  • A. Metro de Medellín chosen
    Metro de Medellín is the main rapid transit system serving the city of Medellín and its metropolitan area, recognized as Colombia’s first modern urban rail network and a key driver of regional mobility and development.
  • B. Caracas Metro
    The Caracas Metro is the rapid transit system serving Venezuela's capital, providing high-capacity urban rail transportation across the metropolitan area.
  • C. Metrocable Medellín
    Metrocable Medellín is an urban cable car system in Medellín, Colombia, designed to connect hillside and low-income neighborhoods to the city’s metro network and improve public transportation and social integration.
  • D. Santiago Metro
    Santiago Metro is the rapid transit system serving Chile's capital, known as one of Latin America’s largest and most extensive urban rail networks.
  • E. Santo Domingo Metro
    Santo Domingo Metro is a rapid transit system serving the metropolitan area of Santo Domingo, providing high-capacity urban rail transportation across the capital of the Dominican Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRapidTransitSystem
Context triple: [Medellín, hasRapidTransitSystem, Medellín Metro]
  • A. rapidTransitSystem chosen
    Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
  • B. hasLightRailSystem
    Indicates that a place possesses and operates a light rail transit system.
  • C. hasPublicTransitProvider
    Indicates that a place or region is served by a specific public transit operating organization or agency.
  • D. hasPublicTransitMode
    Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
  • E. hasTramway
    Indicates that a location or area is served by, contains, or is connected to a tramway system.
  • F. None of above.

Provenance (4 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0b73f481908c9f8d2b9b9bbbaf completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3612392308190b73dc2c757d02742 completed March 13, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69adae05bb0081909dc7e4779d6e05ef completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:17 p.m.