Triple

T12825385
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Bonilla Aragón International Airport E306637 entity
Predicate cityServed P82 FINISHED
Object 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: Cali | Statement: [Alfonso Bonilla Aragón International Airport, cityServed, Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cali
Context triple: [Alfonso Bonilla Aragón International Airport, cityServed, 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. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • C. Aburrá Metropolitan Area
    The Aburrá Metropolitan Area is a major urban and industrial agglomeration in Antioquia, Colombia, centered on the city of Medellín and encompassing several surrounding municipalities in the Aburrá Valley.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af4f56108190b75dbf9bb144e94a completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:32 p.m.