Triple

T12055359
Position Surface form Disambiguated ID Type / Status
Subject district of Toggenburg E287026 entity
Predicate contains P35 FINISHED
Object Kirchberg
Kirchberg is a municipality in the Swiss canton of St. Gallen, known for its rural character and location within the Toggenburg region.
E972138 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: Kirchberg | Statement: [district of Toggenburg, contains, Kirchberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirchberg
Context triple: [district of Toggenburg, contains, Kirchberg]
  • A. Kirchberg
    Kirchberg is a modern district of Luxembourg City known for hosting major European Union institutions, financial centers, and contemporary cultural venues.
  • B. Kirchberg in Tirol
    Kirchberg in Tirol is a picturesque Austrian village in the Tyrolean Alps known for its skiing, hiking, and proximity to the famous resort town of Kitzbühel.
  • C. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • D. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • E. Kapfenberg
    Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
  • 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: Kirchberg
Triple: [district of Toggenburg, contains, Kirchberg]
Generated description
Kirchberg is a municipality in the Swiss canton of St. Gallen, known for its rural character and location within the Toggenburg region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirchberg
Target entity description: Kirchberg is a municipality in the Swiss canton of St. Gallen, known for its rural character and location within the Toggenburg region.
  • A. Kirchberg
    Kirchberg is a modern district of Luxembourg City known for hosting major European Union institutions, financial centers, and contemporary cultural venues.
  • B. Kirchberg in Tirol
    Kirchberg in Tirol is a picturesque Austrian village in the Tyrolean Alps known for its skiing, hiking, and proximity to the famous resort town of Kitzbühel.
  • C. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • D. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • E. Kapfenberg
    Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
  • 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_69f60a62f0fc8190a3d15ccfb23bb788 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f6128da2c4819095bef0cb02a3d39d completed May 2, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69f6134f17c88190a17e1672b9eb2191 completed May 2, 2026, 3:07 p.m.
Created at: April 8, 2026, 9:47 p.m.