Triple

T12215268
Position Surface form Disambiguated ID Type / Status
Subject Toggenburg valley E291065 entity
Predicate hasSettlement P1068 FINISHED
Object Wattwil E967315 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: Wattwil | Statement: [Toggenburg valley, hasSettlement, Wattwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wattwil
Context triple: [Toggenburg valley, hasSettlement, Wattwil]
  • A. Wattwil chosen
    Wattwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland.
  • B. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • C. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345e63dc81908f711dfb6d3b5a1f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.