Triple

T8555748
Position Surface form Disambiguated ID Type / Status
Subject Münchenbuchsee E202558 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
 E742076 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: Wiggiswil | Statement: [Münchenbuchsee, hasNeighboringMunicipality, Wiggiswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiggiswil
Context triple: [Münchenbuchsee, hasNeighboringMunicipality, Wiggiswil]
  • A. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • 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. Reigoldswil
    Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
  • D. Wädenswil
    Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • E. 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.
  • 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: Wiggiswil
Triple: [Münchenbuchsee, hasNeighboringMunicipality, Wiggiswil]
Generated description
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiggiswil
Target entity description: Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
  • A. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • 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. Reigoldswil
    Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
  • D. Wädenswil
    Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • E. 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.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88bcce081909e12e4037a0e6323 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dd90fe88190aa27c46437581c14 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:19 p.m.