Triple
T17147944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aulendorf–Kißlegg railway |
E416142
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Bad Waldsee |
—
|
NE ONNED1 |
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: Bad Waldsee | Statement: [Aulendorf–Kißlegg railway, serves, Bad Waldsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Waldsee Context triple: [Aulendorf–Kißlegg railway, serves, Bad Waldsee]
-
A.
Bad Waldsee
chosen
Bad Waldsee is a historic spa town in the German state of Baden-Württemberg, known for its thermal baths and picturesque old town.
-
B.
Bad Wiessee
Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
-
C.
Riegsee
Riegsee is a picturesque lake in Bavaria, Germany, known for its clear waters and scenic Alpine surroundings.
-
D.
Schottensee
Schottensee is a picturesque alpine lake in the Pizol region of the Swiss Alps, popular with hikers for its clear blue waters and scenic mountain backdrop.
-
E.
Hopfensee
Hopfensee is a picturesque lake in the Allgäu region of Bavaria, Germany, known for its scenic mountain views and popular recreational activities.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195428c6c8190a11e3f7c8f6796fe |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:36 a.m.