Triple
T13635356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Zürich Area |
E325833
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | Volketswil |
E404692
|
NE FINISHED |
How this triple was built (2 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: Volketswil | Statement: [Greater Zürich Area, includesMunicipality, Volketswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volketswil Context triple: [Greater Zürich Area, includesMunicipality, Volketswil]
-
A.
Volketswil
chosen
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
B.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
C.
Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
-
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.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b4ae588190b293c71312ee4037 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 9:51 p.m.