Triple

T22319581
Position Surface form Disambiguated ID Type / Status
Subject Thierstein district E551745 entity
Predicate containsMunicipality P852 FINISHED
Object Zullwil
Zullwil is a small Swiss municipality located in the canton of Solothurn.
E1567819 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: Zullwil | Statement: [Thierstein district, containsMunicipality, Zullwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zullwil
Context triple: [Thierstein district, containsMunicipality, Zullwil]
  • A. Eriswil
    Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
  • B. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • C. Eggenwil
    Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
  • D. Zauggenried
    Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • E. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • 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: Zullwil
Triple: [Thierstein district, containsMunicipality, Zullwil]
Generated description
Zullwil is a small Swiss municipality located in the canton of Solothurn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zullwil
Target entity description: Zullwil is a small Swiss municipality located in the canton of Solothurn.
  • A. Eriswil
    Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
  • B. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • C. Eggenwil
    Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
  • D. Zauggenried
    Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
  • E. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0abd066081909ce2709cd85a1551 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0b70986c81909e1db90201b55f9d completed May 19, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0c368c1c81909075c3d9802cfa2f completed May 19, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:42 p.m.