Triple

T7822928
Position Surface form Disambiguated ID Type / Status
Subject Granma Province E181175 entity
Predicate namedAfter P63 FINISHED
Object yacht Granma E29413 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: yacht Granma | Statement: [Granma Province, namedAfter, yacht Granma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: yacht Granma
Context triple: [Granma Province, namedAfter, yacht Granma]
  • A. Havana Royal Shipyard
    Havana Royal Shipyard was a major Spanish colonial naval shipyard in Havana, Cuba, renowned for constructing some of the largest and most powerful warships of the 18th century.
  • B. Granma yacht chosen
    The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
  • C. Caravela
    Caravela is an island in Guinea-Bissau’s Bijagós Archipelago, known for its remote, sparsely populated character and rich coastal ecosystems.
  • D. Rosanero
    Rosanero is the traditional nickname of Italian football club Palermo FC, referring to the club’s distinctive pink-and-black colors.
  • E. Palmesana
    Palmesana is the term used to refer to a female inhabitant or native of Palma de Mallorca, a city on the Spanish island of Mallorca.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14a526cc8190a8b1a3179f75ad6c completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 4:42 p.m.