Triple

T13853481
Position Surface form Disambiguated ID Type / Status
Subject Østre Toten E333001 entity
Predicate hasBodyOfWater P1778 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: [Østre Toten, hasBodyOfWater, Lake Mjøsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mjøsa
Context triple: [Østre Toten, hasBodyOfWater, 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd323be8d48190b0b289f25de06fb1 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:14 p.m.