Triple
T9276567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solling Railway |
E222962
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Solling hills |
E229268
|
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: Solling hills | Statement: [Solling Railway, namedAfter, Solling hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solling hills Context triple: [Solling Railway, namedAfter, Solling hills]
-
A.
Kyffhäuser hills
The Kyffhäuser hills are a low mountain range in central Germany known for the Kyffhäuser Monument and their association with the Barbarossa legend.
-
B.
Hagen Mountains
The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
-
C.
Calenberg Uplands
The Calenberg Uplands are a low mountain and hill region in Lower Saxony, Germany, characterized by wooded ridges, agricultural valleys, and a mix of natural and cultural landscapes.
-
D.
Solling
chosen
Solling is a forested low mountain range in Lower Saxony, Germany, known for its extensive woodlands and role as a major part of the Weser Uplands.
-
E.
Sauerland
Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07c95a98819098528b7ada37ddc1 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c750723c8190b874aa238d01d658 |
completed | April 4, 2026, 8:09 a.m. |
Created at: March 30, 2026, 7:34 p.m.