Triple
T20640948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altmühl Valley Cycle Route |
E507221
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Beilngries |
—
|
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: Beilngries | Statement: [Altmühl Valley Cycle Route, passesThrough, Beilngries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beilngries Context triple: [Altmühl Valley Cycle Route, passesThrough, Beilngries]
-
A.
Beilngries
chosen
Beilngries is a small Bavarian town in southern Germany known for its historic old town and location within the Altmühltal Nature Park.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
D.
Wollerau
Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
-
E.
Rheineck
Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:43 a.m.