Triple

T18833079
Position Surface form Disambiguated ID Type / Status
Subject Simón Bolívar International Airport E460583 entity
Predicate serves P98 FINISHED
Object Santa Marta NE NERFINISHED

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: Santa Marta | Statement: [Simón Bolívar International Airport, serves, Santa Marta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Marta
Context triple: [Simón Bolívar International Airport, serves, Santa Marta]
  • A. Santa Marta chosen
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • B. Santa Marta
    Santa Marta is a metro station in Mexico City that serves passengers on Line A of the city’s rapid transit system.
  • 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. Valledupar
    Valledupar is a major city in northern Colombia known as the cradle of vallenato music and for its rich cultural traditions.
  • E. Cartagena, Colombia
    Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99b540c8190a29e5f9d56791d41 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.