Triple
T5392816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balm bei Günsberg |
E120373
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
|
E525080
|
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: Attiswil | Statement: [Balm bei Günsberg, hasNeighboringMunicipality, Attiswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attiswil Context triple: [Balm bei Günsberg, hasNeighboringMunicipality, Attiswil]
-
A.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
B.
Allschwil
Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
-
C.
Walchwil
Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
-
D.
Aarburg
Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
-
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: Attiswil Triple: [Balm bei Günsberg, hasNeighboringMunicipality, Attiswil]
Generated description
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Attiswil Target entity description: Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
A.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
B.
Allschwil
Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
-
C.
Walchwil
Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
-
D.
Aarburg
Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
-
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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf858027b08190a6ea46493c6a87c6 |
completed | March 22, 2026, 6 a.m. |
| NEDg | Description generation | batch_69bf863b968c8190ae1f8f5955750a12 |
completed | March 22, 2026, 6:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf866f10048190a9e13020f113b10a |
completed | March 22, 2026, 6:04 a.m. |
Created at: March 20, 2026, 2:04 p.m.