Triple
T12036364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solingen |
E286549
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Bergisches Land |
E300838
|
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: Bergisches Land | Statement: [Solingen, partOf, Bergisches Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergisches Land Context triple: [Solingen, partOf, Bergisches Land]
-
A.
Bergisches Land
chosen
Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
-
B.
Weserbergland
Weserbergland is a hilly, forested region in central Germany known for its picturesque landscapes along the Weser River and numerous historic towns.
-
C.
Wendland region
The Wendland region is a rural area in the eastern part of Lower Saxony, Germany, known for its historic Rundling (circular) villages and strong environmental and anti-nuclear activism.
-
D.
Giessenlanden
Giessenlanden was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
-
E.
Münsterland
Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a613054819082f7900a6ba8fbf8 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:47 p.m.