Triple

T12863369
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Ortega y Mesa E307651 entity
Predicate placeOfResidenceDuringLifetime P34568 FINISHED
Object Bogotá E1526 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: Bogotá | Statement: [Magdalena Ortega y Mesa, placeOfResidenceDuringLifetime, Bogotá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogotá
Context triple: [Magdalena Ortega y Mesa, placeOfResidenceDuringLifetime, Bogotá]
  • A. Bogotá chosen
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Bogotá and Medellín
    Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
  • C. Cali
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. 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.
  • 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: placeOfResidenceDuringLifetime
Context triple: [Magdalena Ortega y Mesa, placeOfResidenceDuringLifetime, Bogotá]
  • A. residenceDuringLife chosen
    Indicates that an entity lived or resided in a particular place during some period of its lifetime.
  • B. residenceDuringCareer
    Indicates the place where an individual lived for a significant period while pursuing their professional career.
  • C. formerResidenceOf
    Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
  • D. laterLivedIn
    Indicates that one entity resided in a particular place during a later period of its life, after an earlier residence elsewhere.
  • E. residencyAt
    Indicates that an entity lives or has an established residence at a particular location or address.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb93c688190910ffb6bc6fbef3f completed May 3, 2026, 4:14 a.m.
PD Predicate disambiguation batch_69d96fa3002881908000357b1f95a3ac completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:37 p.m.