Triple
T19489675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetzikon |
E487613
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Bäretswil
Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
|
E1391886
|
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: Bäretswil | Statement: [Wetzikon, hasNeighbouringMunicipality, Bäretswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bäretswil Context triple: [Wetzikon, hasNeighbouringMunicipality, Bäretswil]
-
A.
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.
-
B.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
-
C.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
D.
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.
-
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: Bäretswil Triple: [Wetzikon, hasNeighbouringMunicipality, Bäretswil]
Generated description
Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bäretswil Target entity description: Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
-
A.
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.
-
B.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
-
C.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
D.
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.
-
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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348ad4088190b530f47efca90165 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab80243c819099abba1f7f905187 |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07af86e5bc8190ac051b6e4d09e071 |
completed | May 15, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b02b50348190b0ad5cc1657301dc |
completed | May 15, 2026, 11:45 p.m. |
Created at: April 10, 2026, 1:39 p.m.