Triple

T3336722
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Switzerland E70155 entity
Predicate includesCanton P5501 FINISHED
Object Obwalden E272427 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: Obwalden | Statement: [German-speaking Switzerland, includesCanton, Obwalden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obwalden
Context triple: [German-speaking Switzerland, includesCanton, Obwalden]
  • 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 chosen
    Unterwalden was one of the original forest cantons of central Switzerland, historically forming a founding member of the Old Swiss Confederacy.
  • C. Aargau
    Aargau is a canton in northern Switzerland known for its rivers, historic towns, and location along the Swiss Plateau.
  • D. Schwyz
    Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
  • E. canton of Nidwalden
    The canton of Nidwalden is a small, predominantly German-speaking Swiss canton in central Switzerland, known for its alpine landscapes, lakeside scenery along Lake Lucerne, and traditional rural communities.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bad97481909359e914d44a1a74 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b61313c7e881909309d18b2d5b6699 completed March 15, 2026, 2:01 a.m.
Created at: March 8, 2026, 3:12 p.m.