Triple

T18114207
Position Surface form Disambiguated ID Type / Status
Subject Drammen havn E433558 entity
Predicate alternativeName P39 FINISHED
Object Port of Drammen 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: Port of Drammen | Statement: [Drammen havn, alternativeName, Port of Drammen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Drammen
Context triple: [Drammen havn, alternativeName, Port of Drammen]
  • A. Port of Drammen chosen
    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.
  • B. 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.
  • C. 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.
  • D. Port of Kristiansand
    The Port of Kristiansand is a major Norwegian seaport and transport hub on the southern coast, serving as an important gateway for passenger ferries, cargo traffic, and regional trade.
  • E. Port of Mo i Rana
    The Port of Mo i Rana is an important industrial and cargo seaport in northern Norway, serving as a key hub for regional maritime trade and logistics.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.