Triple

T1103012
Position Surface form Disambiguated ID Type / Status
Subject AeroGaviota E25423 entity
Predicate focusCity P164 FINISHED
Object Varadero E123215 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: Varadero | Statement: [AeroGaviota, focusCity, Varadero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varadero
Context triple: [AeroGaviota, focusCity, Varadero]
  • A. Varadero chosen
    Varadero is a major Cuban beach resort town on the Hicacos Peninsula, renowned for its long white-sand beaches and tourism infrastructure.
  • B. Playa Caracas
    Playa Caracas is a popular white-sand beach on the island of Vieques in Puerto Rico, known for its clear turquoise waters and scenic, relatively undeveloped shoreline.
  • C. San José de las Lajas
    San José de las Lajas is a Cuban city that serves as the capital of Mayabeque Province and an important agricultural and industrial center near Havana.
  • D. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • E. Cayo Botella
    Cayo Botella is a small offshore islet associated with the Puerto Rican island-municipality of Culebra in the Caribbean.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c47dbf88190a1898d7bda32ecb2 completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.