Triple

T5019476
Position Surface form Disambiguated ID Type / Status
Subject Steve Murphy (Narcos character) E112813 entity
Predicate operationalLocation P6602 FINISHED
Object Medellín E73076 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 | Statement: [Steve Murphy (Narcos character), operationalLocation, Medellín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medellín
Context triple: [Steve Murphy (Narcos character), operationalLocation, Medellín]
  • A. Medellín chosen
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • B. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • C. Manizales
    Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
  • D. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • E. Pereira
    Pereira is a major Colombian city known as the capital of the Risaralda department and an important economic and cultural center in the country's coffee-growing region.
  • 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: operationalLocation
Context triple: [Steve Murphy (Narcos character), operationalLocation, Medellín]
  • A. platformLocation
    Indicates the spatial position or placement of a platform relative to a reference point or environment.
  • B. locationOfFacility
    Indicates that a facility is situated at or associated with a specific geographic location.
  • C. managingOrganizationLocation
    Indicates that an organization has managerial or administrative responsibility over activities or operations occurring at a specified location.
  • D. operatedFrom chosen
    Indicates that an entity conducted its activities or operations starting from or based at a particular location or source.
  • E. centralLocation
    Indicates that one entity serves as the primary or central place associated with another entity.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe4abf2c81908946d4ab18b7273d completed March 21, 2026, 8:23 p.m.
PD Predicate disambiguation batch_69bd714ecfe08190b5830cfc1c74fa17 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:35 p.m.