Triple

T6605586
Position Surface form Disambiguated ID Type / Status
Subject Spanish Army in Cuba E149108 entity
Predicate garrisonLocation P40 FINISHED
Object Camagüey E68635 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: Camagüey | Statement: [Spanish Army in Cuba, garrisonLocation, Camagüey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camagüey
Context triple: [Spanish Army in Cuba, garrisonLocation, Camagüey]
  • A. Camagüey chosen
    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.
  • B. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • C. Camagüey Province
    Camagüey Province is a large central-eastern province of Cuba known for its extensive cattle ranching, sugar production, and the historic colonial city of Camagüey as its capital.
  • D. Villa Clara
    Villa Clara is a prominent Cuban baseball team known for its strong performances and rich history in the Cuban National Series.
  • E. 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.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af143d5c8190b62602602510b1cb completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769ddf9e08190b64216fa37d6ca19 completed March 28, 2026, 5:40 a.m.
Created at: March 27, 2026, 1:56 p.m.