Triple

T1839113
Position Surface form Disambiguated ID Type / Status
Subject Inn E41132 entity
Predicate flowsThrough P225 FINISHED
Object Engadine E120227 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: Engadine | Statement: [Inn, flowsThrough, Engadine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engadine
Context triple: [Inn, flowsThrough, Engadine]
  • A. Engadine valley chosen
    The Engadine valley is a high Alpine valley in the canton of Graubünden in southeastern Switzerland, renowned for its dramatic mountain scenery, lakes, and traditional Romansh-speaking communities.
  • B. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • C. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • D. Gletsch
    Gletsch is a small Swiss hamlet in the canton of Valais, known as a historic staging point near the sources of the Rhône and at the junction of the Furka and Grimsel mountain passes.
  • E. Interlaken
    Interlaken is a Swiss resort town famed for its lakeside setting between Lake Thun and Lake Brienz and its role as a gateway to the surrounding Bernese Alps.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c482908190b940497fc5d5db60 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.