Triple

T3517886
Position Surface form Disambiguated ID Type / Status
Subject Stavanger E74350 entity
Predicate hasPort P35 FINISHED
Object Port of Stavanger E365812 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 Stavanger | Statement: [Stavanger, hasPort, Port of Stavanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Stavanger
Context triple: [Stavanger, hasPort, Port of Stavanger]
  • A. Port of Bergen
    The Port of Bergen is one of Norway’s busiest and historically significant seaports, serving as a major hub for maritime trade, passenger traffic, and cruise tourism on the country’s western coast.
  • B. Port of Fredrikstad
    Port of Fredrikstad is a Norwegian maritime cargo and logistics hub located in the city of Fredrikstad, serving as an important gateway for regional trade and shipping.
  • C. Stavanger harbor chosen
    Stavanger harbor is a central Norwegian port area known for its maritime activity, cruise ship traffic, and role as a gateway to the North Sea oil industry and nearby fjords.
  • D. Port of Drammen
    The Port of Drammen is a key Norwegian seaport and logistics hub known especially for handling car imports and other cargo for the Oslofjord region.
  • E. Port of Oslo
    The Port of Oslo is Norway’s largest and busiest seaport, serving as a key hub for passenger ferries, cargo traffic, and maritime trade in the Oslofjord 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc32f90081908960acb3e94402be completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc74a208190b3fe59e7b56a3d0d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.