Triple
T22319580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierstein district |
E551745
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Nunningen
Nunningen is a Swiss municipality in the canton of Solothurn, known for its rural setting in the Jura region and its proximity to both Basel and the French border.
|
E1535622
|
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: Nunningen | Statement: [Thierstein district, containsMunicipality, Nunningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nunningen Context triple: [Thierstein district, containsMunicipality, Nunningen]
-
A.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
B.
Tettenweis
Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
-
C.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
-
D.
Uetendorf
Uetendorf is a municipality in the canton of Bern in Switzerland, located in the Thun administrative district.
-
E.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
- 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: Nunningen Triple: [Thierstein district, containsMunicipality, Nunningen]
Generated description
Nunningen is a Swiss municipality in the canton of Solothurn, known for its rural setting in the Jura region and its proximity to both Basel and the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nunningen Target entity description: Nunningen is a Swiss municipality in the canton of Solothurn, known for its rural setting in the Jura region and its proximity to both Basel and the French border.
-
A.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
B.
Tettenweis
Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
-
C.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
-
D.
Uetendorf
Uetendorf is a municipality in the canton of Bern in Switzerland, located in the Thun administrative district.
-
E.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
- 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_6a0af0cceba881908102d7555c6dbcdc |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af19eaf38819098bc371db9d65460 |
completed | May 18, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af2a4aaa481909e7e0ab8a4fbef1d |
completed | May 18, 2026, 11:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.