Triple

T7584273
Position Surface form Disambiguated ID Type / Status
Subject Rombaken E179566 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Beisfjord E183729 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: Beisfjord | Statement: [Rombaken, hasShoreSettlement, Beisfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beisfjord
Context triple: [Rombaken, hasShoreSettlement, Beisfjord]
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • C. Bunnefjorden
    Bunnefjorden is a southern arm of the Oslofjord in southeastern Norway, known for its sheltered waters and coastal settlements.
  • D. Beisfjorden chosen
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • E. Eresfjord
    Eresfjord is a small village in Møre og Romsdal county in western Norway, situated at the end of the Eresfjorden and surrounded by steep mountains and scenic fjord landscapes.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4ed90808190852ca09c06a3dc3d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:52 p.m.