Triple

T21296986
Position Surface form Disambiguated ID Type / Status
Subject Ramiswil E524949 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Matzendorf
Matzendorf is a municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region of the Thal district.
 E1528057 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: Matzendorf | Statement: [Ramiswil, hasNeighboringMunicipality, Matzendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matzendorf
Context triple: [Ramiswil, hasNeighboringMunicipality, Matzendorf]
  • A. Schmargendorf
    Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
  • B. Markendorf
    Markendorf is a village-level subdivision of the town of Jüterbog in the state of Brandenburg, Germany.
  • C. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • D. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • E. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • 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: Matzendorf
Triple: [Ramiswil, hasNeighboringMunicipality, Matzendorf]
Generated description
Matzendorf is a municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region of the Thal district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matzendorf
Target entity description: Matzendorf is a municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region of the Thal district.
  • A. Schmargendorf
    Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
  • B. Markendorf
    Markendorf is a village-level subdivision of the town of Jüterbog in the state of Brandenburg, Germany.
  • C. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • D. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • E. Gneixendorf
    Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abc87cab08190b9a5457ba9868784 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd6207688190ab6ba1a04fa663a7 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe80fe7c8190a648efabc360b06d completed May 18, 2026, 7:23 a.m.
Created at: April 16, 2026, 4:04 p.m.