Triple

T7524270
Position Surface form Disambiguated ID Type / Status
Subject Kesswil E177851 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
 E672050 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: Uttwil | Statement: [Kesswil, hasNeighboringMunicipality, Uttwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uttwil
Context triple: [Kesswil, hasNeighboringMunicipality, Uttwil]
  • A. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • B. 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.
  • C. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • 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: Uttwil
Triple: [Kesswil, hasNeighboringMunicipality, Uttwil]
Generated description
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uttwil
Target entity description: Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
  • A. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • B. 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.
  • C. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c61b508190b582f54ecbb387e3 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84efbbed48190baa687bb738a0c54 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c85331d7a48190be801f1f7350af85 completed March 28, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c85401d2048190a44830366b7f0ed4 completed March 28, 2026, 10:19 p.m.
Created at: March 27, 2026, 3:46 p.m.