Triple

T16411135
Position Surface form Disambiguated ID Type / Status
Subject Artemio Ricarte E398566 entity
Predicate nickname P55 FINISHED
Object Víbora E678409 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: Víbora | Statement: [Artemio Ricarte, nickname, Víbora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Víbora
Context triple: [Artemio Ricarte, nickname, Víbora]
  • A. Víbora chosen
    Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
  • B. Constrictor
    Constrictor is a water slide attraction at Wet'n'Wild Gold Coast known for its tight twists and high-speed tube-style turns.
  • C. Serpent
    Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
  • D. Snake
    Snake is a classic mobile arcade game in which the player guides a growing line to collect items while avoiding collisions with walls and its own tail.
  • E. Snake
    Snake is the codename of Solid Snake, the legendary special operations soldier and protagonist of the Metal Gear video game series.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328731a408190b38dcab0b7bb65ff completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c66d41481909340f247f6e5393f completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.