Triple

T12528724
Position Surface form Disambiguated ID Type / Status
Subject Aquapolis floating city E299503 entity
Predicate name P16 FINISHED
Object Aquapolis E986176 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: Aquapolis | Statement: [Aquapolis floating city, name, Aquapolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquapolis
Context triple: [Aquapolis floating city, name, Aquapolis]
  • A. Aquapolis chosen
    Aquapolis was a futuristic floating city pavilion designed by architect Kiyonori Kikutake for Japan’s 1975 Okinawa Ocean Expo, showcasing experimental marine and urban technology.
  • B. Hydropolis
    Hydropolis is an interactive science center and exhibition space in Wrocław, Poland, dedicated to exploring water from scientific, environmental, and cultural perspectives.
  • C. Aquae Cutiliae
    Aquae Cutiliae was an ancient Roman spa town in central Italy, renowned for its therapeutic mineral springs and as the place where Emperor Titus died.
  • D. Lilybaion
    Lilybaion is the ancient Greek name for Lilybaeum, a prominent Punic and later Roman city located at the western tip of Sicily.
  • E. Palaioselli
    Palaioselli is a small village in the Epirus region of northwestern Greece, situated in the mountainous area around Mount Smolikas.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.