Triple

T22141539
Position Surface form Disambiguated ID Type / Status
Subject Vallader E547169 entity
Predicate partOfDialectGroup P64609 FINISHED
Object Engadine Romansh 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: Engadine Romansh | Statement: [Vallader, partOfDialectGroup, Engadine Romansh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engadine Romansh
Context triple: [Vallader, partOfDialectGroup, Engadine Romansh]
  • A. Romansh language chosen
    Romansh is a minority Romance language spoken primarily in the Swiss canton of Graubünden, known for its several distinct regional varieties and official status alongside German, French, and Italian in Switzerland.
  • B. Valtellinese
    Valtellinese is a regional variety of the Lombard language spoken in the Valtellina valley of northern Italy.
  • C. Savognin
    Savognin is a Swiss mountain village and ski resort in the canton of Graubünden, known for its alpine scenery and outdoor recreation.
  • D. Ladin language
    Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
  • E. Valdôtain dialect
    The Valdôtain dialect is a variety of Franco-Provençal (Arpitan) traditionally spoken in Italy’s Aosta Valley, known for its strong French influence and distinct phonetic and lexical features.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129beb6c8819083be3b7479bc032f completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.