Triple
T1059854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solothurn |
E22880
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Dornach
Dornach is a Swiss municipality in the canton of Solothurn, known for its cultural heritage and proximity to Basel.
|
E120369
|
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: Dornach | Statement: [Solothurn, hasMunicipality, Dornach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dornach Context triple: [Solothurn, hasMunicipality, Dornach]
-
A.
Heidenheim an der Brenz
Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
-
B.
Braunau am Inn
Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
-
C.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Mindelheim
Mindelheim is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former status as a princely seat.
-
E.
Rosenheim
Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
- 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: Dornach Triple: [Solothurn, hasMunicipality, Dornach]
Generated description
Dornach is a Swiss municipality in the canton of Solothurn, known for its cultural heritage and proximity to Basel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dornach Target entity description: Dornach is a Swiss municipality in the canton of Solothurn, known for its cultural heritage and proximity to Basel.
-
A.
Heidenheim an der Brenz
Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
-
B.
Braunau am Inn
Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
-
C.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Mindelheim
Mindelheim is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former status as a princely seat.
-
E.
Rosenheim
Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f28c7c8190b9ca3749666bcbf3 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd3400c8190b84e88073f19beba |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3ca9b5d88190816980f964f7e947 |
completed | March 7, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d61a0c48190b619b3049df33512 |
completed | March 7, 2026, 2:59 p.m. |
Created at: March 1, 2026, 7:42 p.m.