Triple

T13866324
Position Surface form Disambiguated ID Type / Status
Subject Scandinavium E333335 entity
Predicate ownedBy P347 FINISHED
Object City of Gothenburg E18121 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 Gothenburg | Statement: [Scandinavium, ownedBy, City of Gothenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Gothenburg
Context triple: [Scandinavium, ownedBy, City of Gothenburg]
  • A. Gothenburg chosen
    Gothenburg is Sweden’s second-largest city, a major port on the country’s west coast known for its maritime heritage, universities, and vibrant cultural scene.
  • B. Gothenburg
    Gothenburg is a small city in western Nebraska known for its historic Pony Express station and classic Midwestern agricultural community.
  • C. Mariestad
    Mariestad is a small historic town in southern Sweden, located on the shores of Lake Vänern and known for its well-preserved old center and lakeside setting.
  • D. Karlskrona
    Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
  • E. Halmstad
    Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6e3d048190869bba1b4a7e255f completed May 8, 2026, 3:04 p.m.
Created at: April 9, 2026, 10:14 p.m.