Triple

T21000395
Position Surface form Disambiguated ID Type / Status
Subject Lüterkofen-Ichertswil E517269 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Brunnenthal
Brunnenthal is a small municipality in the canton of Solothurn in Switzerland.
E1466034 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: Brunnenthal | Statement: [Lüterkofen-Ichertswil, neighboringMunicipality, Brunnenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunnenthal
Context triple: [Lüterkofen-Ichertswil, neighboringMunicipality, Brunnenthal]
  • A. Hünenberg
    Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
  • B. Bürchen
    Bürchen is a small alpine municipality and popular holiday resort in the canton of Valais in southwestern Switzerland.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Alpthal
    Alpthal is a Swiss alpine village and municipality in the canton of Schwyz, known for its scenic mountain landscape and outdoor recreation opportunities.
  • E. Herisau
    Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
  • 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: Brunnenthal
Triple: [Lüterkofen-Ichertswil, neighboringMunicipality, Brunnenthal]
Generated description
Brunnenthal is a small municipality in the canton of Solothurn in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brunnenthal
Target entity description: Brunnenthal is a small municipality in the canton of Solothurn in Switzerland.
  • A. Hünenberg
    Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
  • B. Bürchen
    Bürchen is a small alpine municipality and popular holiday resort in the canton of Valais in southwestern Switzerland.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Alpthal
    Alpthal is a Swiss alpine village and municipality in the canton of Schwyz, known for its scenic mountain landscape and outdoor recreation opportunities.
  • E. Herisau
    Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc24a6dc8190a6bf81cf1d9590c0 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a44adc081908734a4fd2ed66092 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095c10ffec8190ac2948155a98127c completed May 17, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a095ccae2108190b1a679e581d6f61d completed May 17, 2026, 6:14 a.m.
Created at: April 16, 2026, 1:52 p.m.