Triple
T20096338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinwil |
E496409
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Dürnten
Dürnten is a municipality in the canton of Zurich in Switzerland, located in the district of Hinwil.
|
E1441226
|
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: Dürnten | Statement: [Hinwil, hasNeighboringMunicipality, Dürnten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dürnten Context triple: [Hinwil, hasNeighboringMunicipality, Dürnten]
-
A.
Würenlingen
Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
-
B.
Ursensollen
Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
-
C.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
- 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: Dürnten Triple: [Hinwil, hasNeighboringMunicipality, Dürnten]
Generated description
Dürnten is a municipality in the canton of Zurich in Switzerland, located in the district of Hinwil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dürnten Target entity description: Dürnten is a municipality in the canton of Zurich in Switzerland, located in the district of Hinwil.
-
A.
Würenlingen
Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
-
B.
Ursensollen
Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
-
C.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bafc4c088190ae448e2cfca1de82 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bbddde1c81908733796442e6a562 |
completed | May 16, 2026, 6:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bca1021c8190a0e89bad15e87bc1 |
completed | May 16, 2026, 6:51 p.m. |
Created at: April 11, 2026, 11:25 p.m.