Triple

T20341372
Position Surface form Disambiguated ID Type / Status
Subject Wolhusen E495747 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Menznau
Menznau is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and agricultural landscape.
 E1442256 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: Menznau | Statement: [Wolhusen, neighboringMunicipality, Menznau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Menznau
Context triple: [Wolhusen, neighboringMunicipality, Menznau]
  • A. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • B. Leutwil
    Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
  • C. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • 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. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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: Menznau
Triple: [Wolhusen, neighboringMunicipality, Menznau]
Generated description
Menznau is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and agricultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Menznau
Target entity description: Menznau is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and agricultural landscape.
  • A. Muttenz
    Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
  • B. Leutwil
    Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
  • C. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • 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. Bonstetten
    Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67835f6e881908834dda06cf66c50 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c572fa648190b1b7644f34702b1f completed May 16, 2026, 7:28 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:23 a.m.