Triple

T9883533
Position Surface form Disambiguated ID Type / Status
Subject Beisfjordelva E180870 entity
Predicate flowsThrough P225 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: [Beisfjordelva, flowsThrough, Beisfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beisfjord
Context triple: [Beisfjordelva, flowsThrough, 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb453b388819095a5070399d9788d completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2fff34bb08190bebd5089324782dd completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:38 p.m.