Triple

T2803045
Position Surface form Disambiguated ID Type / Status
Subject Aare basin E53189 entity
Predicate contains P35 FINISHED
Object Lake Murten E108809 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 Murten | Statement: [Aare basin, contains, Lake Murten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Murten
Context triple: [Aare basin, contains, Lake Murten]
  • A. Lake Murten chosen
    Lake Murten is a small glacial lake in western Switzerland, known for its scenic shores, mild climate, and location between the Jura Mountains and the Alps.
  • B. Lake Sempach
    Lake Sempach is a small lake in central Switzerland, known for its scenic surroundings, birdlife, and recreational activities such as swimming and boating.
  • C. Lake Thun
    Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
  • D. Bütgenbach Lake
    Bütgenbach Lake is an artificial reservoir in eastern Belgium known for its recreational activities such as swimming, sailing, and hiking along its scenic shores.
  • E. Lake of Gruyère
    Lake of Gruyère is an artificial reservoir in the Swiss canton of Fribourg, known for its scenic setting amid pre-Alpine landscapes and the nearby medieval town of Gruyères.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2249f50008190921040166f6036b9 completed March 12, 2026, 2:27 a.m.
Created at: March 6, 2026, 9:59 p.m.