Triple

T20581199
Position Surface form Disambiguated ID Type / Status
Subject Skansen Kronan E505657 entity
Predicate hasViewOf P854 FINISHED
Object Gothenburg harbour 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: Gothenburg harbour | Statement: [Skansen Kronan, hasViewOf, Gothenburg harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gothenburg harbour
Context triple: [Skansen Kronan, hasViewOf, Gothenburg harbour]
  • A. Port of Gothenburg chosen
    The Port of Gothenburg is Scandinavia’s largest seaport and a major logistics hub for Swedish international trade.
  • B. Port of Oxelösund
    The Port of Oxelösund is a major Swedish Baltic Sea port known for its deep-water facilities and significant role in handling bulk cargo, particularly for the steel industry.
  • C. Södertälje Harbour
    Södertälje Harbour is a key port and industrial waterfront area in Södertälje, Sweden, serving as an important hub for maritime transport and logistics.
  • D. Port of Stockholm
    The Port of Stockholm is a major Swedish seaport complex that serves as a key hub for passenger ferries, cruise ships, and cargo traffic in the Baltic Sea region.
  • E. Port of Malmö
    The Port of Malmö is a major Swedish seaport on the Øresund Strait that handles cargo, passenger traffic, and regional maritime trade for the city of Malmö.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90e98a88190b5cb077973f97e68 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:40 a.m.