Triple

T12055313
Position Surface form Disambiguated ID Type / Status
Subject Toggenburg E287025 entity
Predicate contains P35 FINISHED
Object Wattwil
Wattwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland.
E967315 NE FINISHED

How this triple was built (4 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, contains, Wattwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wattwil
Context triple: [Toggenburg, contains, Wattwil]
  • A. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • B. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • C. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • D. 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.
  • E. Wolhusen
    Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wattwil
Triple: [Toggenburg, contains, Wattwil]
Generated description
Wattwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wattwil
Target entity description: Wattwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland.
  • A. Uttwil
    Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • B. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • C. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • D. 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.
  • E. Wolhusen
    Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
  • F. None of above. chosen

Provenance (5 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64f40388190bfb3d2a81d5fbf5e completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f60335285c819089f69472b2e48130 completed May 2, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f60410ce0481908b2deb7522a3ec00 completed May 2, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:47 p.m.