Triple

T10621130
Position Surface form Disambiguated ID Type / Status
Subject Kali Uchis E250204 entity
Predicate earlyLifeLocation P27131 FINISHED
Object Pereira, Colombia E205447 NE FINISHED

How this triple was built (2 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: Pereira, Colombia | Statement: [Kali Uchis, earlyLifeLocation, Pereira, Colombia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pereira, Colombia
Context triple: [Kali Uchis, earlyLifeLocation, Pereira, Colombia]
  • A. Pereira chosen
    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.
  • B. Sucre, Colombia
    Sucre, Colombia is a department on Colombia’s Caribbean coast known for its agricultural economy, coastal wetlands, and cultural traditions rooted in the broader Caribbean region.
  • C. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • 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. 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.

Provenance (3 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31b72d081908ec8029cd9f6d814 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b908e788190bc9e4f327e871a7f completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:49 p.m.