Triple

T6330429
Position Surface form Disambiguated ID Type / Status
Subject Cueva del Indio E141966 entity
Predicate near P350 FINISHED
Object Viñales E138271 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: Viñales | Statement: [Cueva del Indio, near, Viñales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viñales
Context triple: [Cueva del Indio, near, Viñales]
  • A. 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.
  • B. 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.
  • 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. Ciego de Ávila, Cuba
    Ciego de Ávila, Cuba is a central Cuban city and provincial capital known for its agricultural economy and proximity to popular beach resorts like Cayo Coco and Cayo Guillermo.
  • E. 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.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651334c08190a9514faa36e7812d completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64ba8838c8190873ebe0ae9c0237d completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:30 p.m.