Triple

T17515347
Position Surface form Disambiguated ID Type / Status
Subject Arth E426553 entity
Predicate canton P3942 FINISHED
Object Schwyz 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: Schwyz | Statement: [Arth, canton, Schwyz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwyz
Context triple: [Arth, canton, Schwyz]
  • A. Schwyz chosen
    Schwyz is a historic canton in central Switzerland, known as one of the founding members that gave the Swiss Confederation its name.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. Schaffhausen
    Schaffhausen is a historic town and capital of the canton of the same name in northern Switzerland, known for its well-preserved medieval old town and proximity to the Rhine Falls.
  • D. Luzern
    Luzern is a picturesque Swiss city on Lake Lucerne, renowned for its preserved medieval architecture, iconic Chapel Bridge, and surrounding mountain scenery.
  • E. St. Gallen (canton)
    St. Gallen is a canton in northeastern Switzerland known for its mix of industrial centers, rural landscapes, and the historic city of St. Gallen with its UNESCO-listed Abbey District.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.