Triple

T17548958
Position Surface form Disambiguated ID Type / Status
Subject Stechelberg E427403 entity
Predicate nearRiver P350 FINISHED
Object Weisse Lütschine NE NERFINISHED

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: Weisse Lütschine | Statement: [Stechelberg, nearRiver, Weisse Lütschine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weisse Lütschine
Context triple: [Stechelberg, nearRiver, Weisse Lütschine]
  • A. Lütschine chosen
    The Lütschine is a river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen and Grindelwald valleys before joining the Aare near Interlaken.
  • B. River Reuss
    The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
  • C. Bissone
    Bissone is a small Swiss municipality on the shores of Lake Lugano in the canton of Ticino, known for its picturesque lakeside setting and historic village center.
  • D. Seerhein
    Seerhein is a short stretch of the Rhine River connecting the Untersee and Obersee basins of Lake Constance along the Swiss-German border.
  • E. Aare
    The Aare is Switzerland’s longest entirely domestic river, flowing through major cities like Bern and feeding several lakes before joining the Rhine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.