Triple

T4446309
Position Surface form Disambiguated ID Type / Status
Subject Østfold E96296 entity
Predicate hasPort P35 FINISHED
Object Port of Fredrikstad E298660 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 Fredrikstad | Statement: [Østfold, hasPort, Port of Fredrikstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Fredrikstad
Context triple: [Østfold, hasPort, Port of Fredrikstad]
  • A. Port of Fredrikstad chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • 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 (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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613850eb88190b689a632b0e2b374 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.