Triple
T6957627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nördlingen |
E161285
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nördlinger Ries |
E330443
|
NE FINISHED |
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: Nördlinger Ries | Statement: [Nördlingen, locatedIn, Nördlinger Ries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nördlinger Ries Context triple: [Nördlingen, locatedIn, Nördlinger Ries]
-
A.
Donau-Ries
chosen
Donau-Ries is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and scenic landscapes along the Danube and Ries crater area.
-
B.
Höllental
Höllental is a steep, scenic alpine valley in the Bavarian Alps known for its challenging route up to Germany’s highest peak, the Zugspitze.
-
C.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
D.
Feldberg
Feldberg is the tallest mountain in Germany’s Black Forest region, known for its scenic landscapes and popular hiking and skiing opportunities.
-
E.
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.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad0e52081908b524dc6a66bab01 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7588e2c5c8190a66a0205f3c2bf99 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.