Triple

T14725050
Position Surface form Disambiguated ID Type / Status
Subject Søndre Land E345916 entity
Predicate contains P35 FINISHED
Object Randsfjorden E113700 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: Randsfjorden | Statement: [Søndre Land, contains, Randsfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randsfjorden
Context triple: [Søndre Land, contains, Randsfjorden]
  • A. Randsfjorden chosen
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • B. Reinefjorden
    Reinefjorden is a dramatic fjord in Norway’s Lofoten archipelago, renowned for its steep mountains, fishing villages, and iconic Arctic coastal scenery.
  • C. Heggefjorden
    Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
  • D. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • E. Kirkefjorden
    Kirkefjorden is a scenic fjord on the island of Moskenesøya in Norway’s Lofoten archipelago, known for its steep mountainsides and dramatic coastal landscape.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8754ef408190be0e4ea5c35cf000 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 1:29 a.m.