Triple

T7288380
Position Surface form Disambiguated ID Type / Status
Subject Stargate Atlantis E163931 entity
Predicate setting P1957 FINISHED
Object 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: city of Atlantis | Statement: [Stargate Atlantis, setting, city of Atlantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Atlantis
Context triple: [Stargate Atlantis, setting, city of Atlantis]
  • A. Atlante
    Atlante is a Mexican professional football club known for its historic presence in Liga MX and passionate fan base.
  • B. 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.
  • C. 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.
  • D. Atlantis
    Atlantis is a retired NASA Space Shuttle orbiter that flew numerous missions for the United States space program between 1985 and 2011.
  • E. Aquapolis floating city
    Aquapolis floating city was a pioneering experimental marine city and futuristic floating structure showcased as a centerpiece of Expo '75 in Okinawa, Japan.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 3 p.m.