Triple

T14942995
Position Surface form Disambiguated ID Type / Status
Subject Bimini Road E372578 entity
Predicate associatedWith P37 FINISHED
Object lost city of Atlantis E118802 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: lost city of Atlantis | Statement: [Bimini Road, associatedWith, lost city of Atlantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lost city of Atlantis
Context triple: [Bimini Road, associatedWith, lost city of Atlantis]
  • A. Atlantis
    Atlantis is a town in South Africa’s Western Cape province, located north of Cape Town and known historically as an industrial and residential area developed during the apartheid era.
  • B. Atlantis chosen
    Atlantis is a legendary, highly advanced island civilization from ancient Greek mythology, said to have sunk into the sea as a result of divine punishment.
  • C. Atlantis
    Atlantis is a retired NASA Space Shuttle orbiter that flew numerous missions for the United States space program between 1985 and 2011.
  • D. Atlantis
    Atlantis is a legendary Mexican luchador known for his long, successful career in Consejo Mundial de Lucha Libre and his iconic mask and técnico (heroic) persona.
  • E. Fuga da Atlantide
    Fuga da Atlantide is a themed water coaster at the Gardaland amusement park in Italy, featuring elaborate Atlantis-inspired scenery and splashdown elements.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9484e8819086ca6a59d672e49d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.