Triple

T10150223
Position Surface form Disambiguated ID Type / Status
Subject Valle del Cauca Department E232614 entity
Predicate hasMajorCity P316 FINISHED
Object Santiago de Cali E48415 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: Santiago de Cali | Statement: [Valle del Cauca Department, hasMajorCity, Santiago de Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago de Cali
Context triple: [Valle del Cauca Department, hasMajorCity, Santiago de Cali]
  • A. Cali chosen
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • 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. Cartagena del Chairá
    Cartagena del Chairá is a rural municipality in southern Colombia’s Caquetá Department, known for its Amazonian rainforest environment and history of armed conflict presence.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ac043f08190ba7f526d226d3c8c completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:08 p.m.