Triple

T15216408
Position Surface form Disambiguated ID Type / Status
Subject Port of Bergen E363647 entity
Predicate operatedBy P86 FINISHED
Object Bergen Havn KF E363647 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: Bergen Havn KF | Statement: [Port of Bergen, operatedBy, Bergen Havn KF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen Havn KF
Context triple: [Port of Bergen, operatedBy, Bergen Havn KF]
  • A. Oslo Havn KF
    Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
  • B. Port of Haugesund
    The Port of Haugesund is a key maritime hub on Norway’s west coast, serving regional shipping, offshore industry, and passenger traffic in the North Sea.
  • C. Kristiansund harbor
    Kristiansund harbor is a coastal port in the town of Kristiansund, Norway, known for its sheltered natural setting and role in regional fishing, shipping, and maritime transport.
  • D. Port of Bergen chosen
    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.
  • E. Egersund harbor
    Egersund harbor is a coastal port area in the town of Egersund in southwestern Norway, known for its maritime activities and fishing industry.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.