Triple

T5180116
Position Surface form Disambiguated ID Type / Status
Subject Inn River E116897 entity
Predicate region P40 FINISHED
Object Graubünden E220904 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: Graubünden | Statement: [Inn River, region, Graubünden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graubünden
Context triple: [Inn River, region, Graubünden]
  • A. Grisons
    Grisons is the largest and easternmost canton of Switzerland, known for its mountainous Alpine landscapes and multilingual culture (German, Romansh, and Italian).
  • B. Unterwalden
    Unterwalden was one of the original forest cantons of central Switzerland, historically forming a founding member of the Old Swiss Confederacy.
  • C. canton of Graubünden chosen
    The canton of Graubünden is a large, mountainous region in eastern Switzerland known for its Alpine landscapes, ski resorts, and multilingual culture (German, Romansh, and Italian).
  • D. Ticino
    Ticino is a major river in northern Italy and Switzerland that flows through the Swiss canton of Ticino and Lombardy before joining the Po River.
  • E. Upper Valais
    Upper Valais is the predominantly German-speaking, mountainous eastern part of the Swiss canton of Valais, known for its Alpine landscapes, glaciers, and major ski resorts.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d466cbc8190a91dcc0c26aba817 completed March 22, 2026, 11:37 p.m.
Created at: March 20, 2026, 1:45 p.m.