Triple
T17823349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walchwil |
E445044
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Unterägeri |
—
|
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: Unterägeri | Statement: [Walchwil, hasNeighboringMunicipality, Unterägeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unterägeri Context triple: [Walchwil, hasNeighboringMunicipality, Unterägeri]
-
A.
Unterägeri
chosen
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
B.
Unterterzen
Unterterzen is a small Swiss village on the shores of Lake Walen in the canton of St. Gallen, known as a gateway to the nearby Churfirsten mountain range and the Flumserberg ski area.
-
C.
Eichigt
Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
-
D.
Unterrüthen
Unterrüthen is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
-
E.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891282a081908d384d45bf444baf |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.