Triple
T21645651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biel-Benken |
E534205
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Bättwil
Bättwil is a small municipality in the canton of Solothurn in northwestern Switzerland, near the French border.
|
E1521618
|
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: Bättwil | Statement: [Biel-Benken, hasNeighboringMunicipality, Bättwil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bättwil Context triple: [Biel-Benken, hasNeighboringMunicipality, Bättwil]
-
A.
Rifferswil
Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
-
B.
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.
-
C.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
D.
Bäriswil
Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
-
E.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
- 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: Bättwil Triple: [Biel-Benken, hasNeighboringMunicipality, Bättwil]
Generated description
Bättwil is a small municipality in the canton of Solothurn in northwestern Switzerland, near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bättwil Target entity description: Bättwil is a small municipality in the canton of Solothurn in northwestern Switzerland, near the French border.
-
A.
Rifferswil
Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
-
B.
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.
-
C.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
D.
Bäriswil
Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
-
E.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96e25b108190b6b3af363875b0a5 |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a97a03abc8190a0158fe2ad6c14d7 |
completed | May 18, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a981c96648190b295c1667f1c3648 |
completed | May 18, 2026, 4:39 a.m. |
Created at: April 16, 2026, 6:35 p.m.