Triple
T19491889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderswil |
E487670
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Gündlischwand |
—
|
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: Gündlischwand | Statement: [Wilderswil, hasNeighboringMunicipality, Gündlischwand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gündlischwand Context triple: [Wilderswil, hasNeighboringMunicipality, Gündlischwand]
-
A.
Gündlischwand
chosen
Gündlischwand is a small Swiss municipality in the Bernese Oberland region, known for its alpine scenery and proximity to major tourist destinations like Interlaken.
-
B.
Mörtschach
Mörtschach is a small municipality in the Austrian state of Carinthia, situated in the Alpine region of the Möll Valley.
-
C.
Raaba-Grambach
Raaba-Grambach is a municipality in the Austrian state of Styria, located just southeast of the city of Graz.
-
D.
Dürrnberg
Dürrnberg is a mountain area in the Austrian Alps known for its historic salt mines and scenic landscapes near the town of Hallein.
-
E.
Erlbach
Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348e01b88190a513d0e256161fcd |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.