Triple

T19786553
Position Surface form Disambiguated ID Type / Status
Subject Sarganserland region E475284 entity
Predicate contains P35 FINISHED
Object Vilters-Wangs 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: Vilters-Wangs | Statement: [Sarganserland region, contains, Vilters-Wangs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilters-Wangs
Context triple: [Sarganserland region, contains, Vilters-Wangs]
  • A. Vilters-Wangs chosen
    Vilters-Wangs is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its scenic Alpine setting and proximity to the spa town of Bad Ragaz.
  • B. Vilters
    Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
  • C. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • D. Wangels
    Wangels is a small municipality in the Wagria region of Schleswig-Holstein in northern Germany, known for its rural landscape and proximity to the Baltic Sea coast.
  • E. Vucherens
    Vucherens is a small rural municipality in the canton of Vaud in western Switzerland, characterized by its agricultural landscape and proximity to the town of Moudon.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.