Triple

T14601562
Position Surface form Disambiguated ID Type / Status
Subject Ringsaker E342716 entity
Predicate locatedOn P40 FINISHED
Object Lake Mjøsa E65750 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: Lake Mjøsa | Statement: [Ringsaker, locatedOn, Lake Mjøsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mjøsa
Context triple: [Ringsaker, locatedOn, Lake Mjøsa]
  • A. Mjøsa Lake chosen
    Mjøsa Lake is Norway’s largest lake, located in the southeastern part of the country and known for its scenic surroundings and historic towns along its shores.
  • B. Breiddalsvatnet
    Breiddalsvatnet is a lake located in Skjåk municipality in Innlandet county, Norway, known for its mountainous surroundings and role in local outdoor recreation.
  • C. Lake Norsjø
    Lake Norsjø is a large inland lake in Telemark, Norway, known as an important link in the Telemark Canal and a popular area for boating and recreation.
  • D. Øymarksjøen
    Øymarksjøen is a lake in southeastern Norway known for its forested surroundings, recreational fishing, and role in the local waterway system near the Swedish border.
  • E. Vågåvatn
    Vågåvatn is a lake in Innlandet county, Norway, known for its scenic mountain surroundings near the village of Vågå.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.