Triple

T4365769
Position Surface form Disambiguated ID Type / Status
Subject Port of Drammen E98767 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Oslofjord E33322 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: Oslofjord | Statement: [Port of Drammen, locatedOnWaterbody, Oslofjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslofjord
Context triple: [Port of Drammen, locatedOnWaterbody, Oslofjord]
  • A. Oslofjord chosen
    Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
  • B. Drammensfjord
    Drammensfjord is a branch of the Oslofjord in southeastern Norway, known for its deep waters, surrounding industrial and urban areas, and role as an important maritime route.
  • C. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • D. Osafjorden
    Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
  • E. Vestfjorden
    Vestfjorden is a broad, often stormy strait off northern Norway that separates the Lofoten archipelago from the mainland and is known for its rich fisheries and dramatic coastal scenery.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d66d4948190a095a92d0e3778ca completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:17 p.m.