Triple

T22319577
Position Surface form Disambiguated ID Type / Status
Subject Thierstein district E551745 entity
Predicate containsMunicipality P852 FINISHED
Object Himmelried
Himmelried is a small Swiss municipality located in the canton of Solothurn in northwestern Switzerland.
 E1540062 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: Himmelried | Statement: [Thierstein district, containsMunicipality, Himmelried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himmelried
Context triple: [Thierstein district, containsMunicipality, Himmelried]
  • A. Nesselried
    Nesselried is a village and district of the municipality of Appenweier in the Ortenau region of Baden-Württemberg, Germany.
  • B. Rorgenwies
    Rorgenwies is a village and locality that forms part of the municipality of Eigeltingen in the district of Konstanz, Baden-Württemberg, Germany.
  • C. Heretsried
    Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
  • D. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • E. Hagetmau
    Hagetmau is a small town in southwestern France’s Landes department, known for its rural character and traditional Gascon culture.
  • 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: Himmelried
Triple: [Thierstein district, containsMunicipality, Himmelried]
Generated description
Himmelried is a small Swiss municipality located in the canton of Solothurn in northwestern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himmelried
Target entity description: Himmelried is a small Swiss municipality located in the canton of Solothurn in northwestern Switzerland.
  • A. Nesselried
    Nesselried is a village and district of the municipality of Appenweier in the Ortenau region of Baden-Württemberg, Germany.
  • B. Rorgenwies
    Rorgenwies is a village and locality that forms part of the municipality of Eigeltingen in the district of Konstanz, Baden-Württemberg, Germany.
  • C. Heretsried
    Heretsried is a small municipality in the Swabian region of Bavaria, Germany, situated within the rural surroundings of the Augsburg district.
  • D. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • E. Hagetmau
    Hagetmau is a small town in southwestern France’s Landes department, known for its rural character and traditional Gascon culture.
  • 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_6a0b17cbf58481909f01faefd9c561b5 completed May 18, 2026, 1:44 p.m.
NEDg Description generation batch_6a0b1854c7b081908651595a85843cdc completed May 18, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0b18de8f34819093d0a0ca7adb6d8e completed May 18, 2026, 1:49 p.m.
Created at: April 16, 2026, 8:42 p.m.