Triple

T21366401
Position Surface form Disambiguated ID Type / Status
Subject canton of Schwyz E526926 entity
Predicate largestCity P235 FINISHED
Object Freienbach 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: Freienbach | Statement: [canton of Schwyz, largestCity, Freienbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freienbach
Context triple: [canton of Schwyz, largestCity, Freienbach]
  • A. Freienbach chosen
    Freienbach is a municipality in the Swiss canton of Schwyz, located on the shores of Lake Zurich and known for its favorable tax environment.
  • B. Freienohl
    Freienohl is a district (Ortsteil) of the town of Meschede in North Rhine-Westphalia, Germany, situated in the Sauerland region along the river Ruhr.
  • C. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • D. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • E. Grömbach
    Grömbach is a small municipality in the Black Forest region of southwestern Germany.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06fbe108190a07a46824b96a963 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:09 p.m.