Triple
T19877248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rüti ZH |
E477669
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Bubikon
Bubikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and the historic Bubikon Commandery of the Knights Hospitaller.
|
E1406654
|
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: Bubikon | Statement: [Rüti ZH, hasNeighbouringMunicipality, Bubikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubikon Context triple: [Rüti ZH, hasNeighbouringMunicipality, Bubikon]
-
A.
Büren an der Aare
Büren an der Aare is a small Swiss municipality in the canton of Bern, situated along the Aare River and known for its historic town center and riverside setting.
-
B.
Koppigen
Koppigen is a municipality in the canton of Bern in Switzerland, situated in the Emmental region.
-
C.
Zugerberg
Zugerberg is a scenic mountain and recreational area in the Swiss canton of Zug, known for its panoramic views over Lake Zug and the surrounding Alps.
-
D.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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: Bubikon Triple: [Rüti ZH, hasNeighbouringMunicipality, Bubikon]
Generated description
Bubikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and the historic Bubikon Commandery of the Knights Hospitaller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bubikon Target entity description: Bubikon is a municipality in the canton of Zurich in Switzerland, known for its rural character and the historic Bubikon Commandery of the Knights Hospitaller.
-
A.
Büren an der Aare
Büren an der Aare is a small Swiss municipality in the canton of Bern, situated along the Aare River and known for its historic town center and riverside setting.
-
B.
Koppigen
Koppigen is a municipality in the canton of Bern in Switzerland, situated in the Emmental region.
-
C.
Zugerberg
Zugerberg is a scenic mountain and recreational area in the Swiss canton of Zug, known for its panoramic views over Lake Zug and the surrounding Alps.
-
D.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e11c48081909366df335b984e19 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ed8c5b481908f7991f376619997 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f3edff481908781008206019093 |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 10, 2026, 1:52 p.m.