Triple

T5046385
Position Surface form Disambiguated ID Type / Status
Subject St. Moritz E113674 entity
Predicate region P40 FINISHED
Object Upper 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: Upper Engadine | Statement: [St. Moritz, region, Upper Engadine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Engadine
Context triple: [St. Moritz, region, Upper 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. Toggenburg valley
    Toggenburg valley is a picturesque alpine valley in northeastern Switzerland known for its traditional villages, hiking and skiing areas, and scenic mountain landscapes.
  • C. Colagne valley
    The Colagne valley is a scenic river valley in southern France known for its rural landscapes and small towns such as Marvejols.
  • D. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • E. Oberland
    Oberland is the more populous of Liechtenstein’s two electoral districts, encompassing the southern municipalities including the capital, Vaduz.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47e5ba0819088217a9ad3ce2b0a completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.