Triple
T14856992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Laasphe |
E349382
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Siegerland-Wittgenstein |
E742000
|
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: Siegerland-Wittgenstein | Statement: [Bad Laasphe, region, Siegerland-Wittgenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegerland-Wittgenstein Context triple: [Bad Laasphe, region, Siegerland-Wittgenstein]
-
A.
Siegerland
chosen
Siegerland is a hilly, forested region in western Germany known for its historic iron ore mining and metalworking industry.
-
B.
Rhineland
The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
-
C.
Greater Hesse
Greater Hesse was a post–World War II administrative region in western Germany established by the U.S. occupation authorities, which later formed the core of the modern state of Hesse.
-
D.
Wattenscheid
Wattenscheid is a district of the city of Bochum in Germany’s Ruhr area, historically known as an independent mining town.
-
E.
Hunsrück
Hunsrück is a low mountain range in western Germany known for its forested hills, rural landscapes, and traditional villages between the Moselle, Rhine, and Nahe rivers.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44458ec8190be295a95f5daab14 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.