Triple
T18980249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birrwil |
E464401
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Boniswil
Boniswil is a small municipality in the canton of Aargau in northern Switzerland, situated near Lake Hallwil and known for its rural character.
|
E1360627
|
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: Boniswil | Statement: [Birrwil, hasNeighbouringMunicipality, Boniswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boniswil Context triple: [Birrwil, hasNeighbouringMunicipality, Boniswil]
-
A.
Bülach
Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
-
B.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
-
C.
Madiswil
Madiswil is a municipality and village in the Emmental region of the canton of Bern in Switzerland, known for its rural character and agricultural landscape.
-
D.
Bönigen
Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
-
E.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
- 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: Boniswil Triple: [Birrwil, hasNeighbouringMunicipality, Boniswil]
Generated description
Boniswil is a small municipality in the canton of Aargau in northern Switzerland, situated near Lake Hallwil and known for its rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boniswil Target entity description: Boniswil is a small municipality in the canton of Aargau in northern Switzerland, situated near Lake Hallwil and known for its rural character.
-
A.
Bülach
Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
-
B.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
-
C.
Madiswil
Madiswil is a municipality and village in the Emmental region of the canton of Bern in Switzerland, known for its rural character and agricultural landscape.
-
D.
Bönigen
Bönigen is a Swiss village in the canton of Bern, known for its scenic location on the shore of Lake Brienz near Interlaken.
-
E.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65c11808190810c79c91799dec0 |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f23b6be481908636b5b48066364d |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f303c4fc8190a9a972dd1561bc84 |
completed | May 15, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4039ca881908679e5da604eea50 |
completed | May 15, 2026, 10:22 a.m. |
Created at: April 10, 2026, 12:01 p.m.