Triple

T6470799
Position Surface form Disambiguated ID Type / Status
Subject Cárdenas E142343 entity
Predicate near P350 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: [Cárdenas, near, Varadero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varadero
Context triple: [Cárdenas, near, 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. Cayo Coco
    Cayo Coco is a popular Cuban resort island in the Jardines del Rey archipelago, known for its white-sand beaches, coral reefs, and all-inclusive tourist complexes.
  • C. Cayo Cruz
    Cayo Cruz is a small Cuban cay in the Jardines del Rey archipelago, known for its pristine beaches, clear turquoise waters, and growing appeal as a quiet, nature-focused tourist destination.
  • D. Varadero Juan Gualberto Gómez Airport
    Varadero Juan Gualberto Gómez Airport is an international airport serving the resort city of Varadero, Cuba, and is one of the country’s main gateways for tourist traffic.
  • E. Maspalomas
    Maspalomas is a popular resort town on the southern coast of Gran Canaria, known for its extensive sand dunes, beaches, and tourist infrastructure.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a2e896481908ed004e3b0a33121 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539c93c481909bed35b68ce420d8 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.