Triple

T21188720
Position Surface form Disambiguated ID Type / Status
Subject STS-86 E522155 entity
Predicate spaceShuttle P4019 FINISHED
Object Atlantis NE NERFINISHED

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: Atlantis | Statement: [STS-86, spaceShuttle, Atlantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantis
Context triple: [STS-86, spaceShuttle, Atlantis]
  • A. Atlantis
    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.
  • B. Atlantis
    Atlantis is a British fantasy-adventure television series that reimagines Greek myths through the exploits of a young Jason in the legendary lost city.
  • C. Atlantis chosen
    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 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333403448190bcd9cc0805e414b5 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.