Triple

T20828844
Position Surface form Disambiguated ID Type / Status
Subject Viazul E512772 entity
Predicate notableRoute P22 FINISHED
Object Havana–Viñales 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: Havana–Viñales | Statement: [Viazul, notableRoute, Havana–Viñales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havana–Viñales
Context triple: [Viazul, notableRoute, Havana–Viñales]
  • A. Pinar del Río
    Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
  • B. Viñales Valley chosen
    Viñales Valley is a renowned karst landscape in western Cuba, famous for its dramatic limestone mogotes, traditional tobacco farms, and UNESCO World Heritage status.
  • C. Ciego de Ávila
    Ciego de Ávila is a central Cuban city and provincial capital known for its agricultural production and proximity to popular beach resorts like Cayo Coco.
  • D. Camagüey
    Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
  • E. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32030c081908249449aae5925c8 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.