Triple
T1059859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solothurn |
E22880
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Niederbipp
Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
|
E142398
|
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: Niederbipp | Statement: [Solothurn, hasMunicipality, Niederbipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederbipp Context triple: [Solothurn, hasMunicipality, Niederbipp]
-
A.
Unterwallenstadt
Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
C.
Achern
Achern is a small German town in the state of Baden-Württemberg, located near the Black Forest and close to the French border in the Upper Rhine region.
-
D.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
E.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
- 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: Niederbipp Triple: [Solothurn, hasMunicipality, Niederbipp]
Generated description
Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederbipp Target entity description: Niederbipp is a municipality in the canton of Solothurn in northwestern Switzerland, situated in the Oberaargau region near the Jura Mountains.
-
A.
Unterwallenstadt
Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
B.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
C.
Achern
Achern is a small German town in the state of Baden-Württemberg, located near the Black Forest and close to the French border in the Upper Rhine region.
-
D.
Lommersweiler
Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
-
E.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
- 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_69a4b8f3f98c819096338198d9f30491 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f675824819091de0a83b2a6a0b3 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fecffc08190a2adb1cdc0cec77c |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9102fa2c8190a26fce804367ea58 |
completed | March 7, 2026, 8:56 p.m. |
Created at: March 1, 2026, 7:42 p.m.