Triple
T21296984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramiswil |
E524949
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Herbetswil |
—
|
NE NERFINISHED |
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: Herbetswil | Statement: [Ramiswil, hasNeighboringMunicipality, Herbetswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbetswil Context triple: [Ramiswil, hasNeighboringMunicipality, Herbetswil]
-
A.
Volketswil
Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
-
B.
Wiggiswil
Wiggiswil is a small rural municipality in the canton of Bern in Switzerland.
-
C.
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.
-
D.
Gibswil
Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
-
E.
Schnottwil
chosen
Schnottwil is a Swiss village and municipality located in the canton of Solothurn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.