Triple
T16460384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyss |
E399789
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Busswil bei Büren
Busswil bei Büren is a village and former municipality in the canton of Bern, Switzerland, now part of the municipality of Lyss.
|
E1214880
|
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: Busswil bei Büren | Statement: [Lyss, hasNeighboringMunicipality, Busswil bei Büren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busswil bei Büren Context triple: [Lyss, hasNeighboringMunicipality, Busswil bei Büren]
-
A.
Reigoldswil
Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
-
B.
Bütschwil-Ganterschwil
Bütschwil-Ganterschwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland, known for its rural character and scenic pre-Alpine landscape.
-
C.
Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
-
D.
Walperswil
Walperswil is a small municipality in the canton of Bern in Switzerland.
-
E.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
- 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: Busswil bei Büren Triple: [Lyss, hasNeighboringMunicipality, Busswil bei Büren]
Generated description
Busswil bei Büren is a village and former municipality in the canton of Bern, Switzerland, now part of the municipality of Lyss.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Busswil bei Büren Target entity description: Busswil bei Büren is a village and former municipality in the canton of Bern, Switzerland, now part of the municipality of Lyss.
-
A.
Reigoldswil
Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
-
B.
Bütschwil-Ganterschwil
Bütschwil-Ganterschwil is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland, known for its rural character and scenic pre-Alpine landscape.
-
C.
Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
-
D.
Walperswil
Walperswil is a small municipality in the canton of Bern in Switzerland.
-
E.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.