Triple

T4376826
Position Surface form Disambiguated ID Type / Status
Subject Gothenburger E99026 entity
Predicate associatedWith P37 FINISHED
Object Port of Gothenburg E102624 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: Port of Gothenburg | Statement: [Gothenburger, associatedWith, Port of Gothenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Gothenburg
Context triple: [Gothenburger, associatedWith, Port of Gothenburg]
  • 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 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.
  • C. Port of Helsingborg
    The Port of Helsingborg is a major Swedish seaport on the Øresund Strait, serving as a key hub for ferry traffic, cargo handling, and regional maritime trade between Sweden and Denmark.
  • D. Port of Gävle
    The Port of Gävle is a major Swedish seaport on the Baltic Sea that serves as an important hub for regional trade, cargo handling, and maritime transport.
  • E. Port of Helsinki
    The Port of Helsinki is Finland’s busiest seaport and a major passenger and cargo hub in the Baltic Sea region.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523d4e888190b4367ed6aa17d463 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.