Triple
T13255278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelkheim |
E315641
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bad Soden am Taunus |
E221174
|
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: Bad Soden am Taunus | Statement: [Kelkheim, locatedNear, Bad Soden am Taunus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Soden am Taunus Context triple: [Kelkheim, locatedNear, Bad Soden am Taunus]
-
A.
Bad Soden am Taunus
chosen
Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
-
B.
Hofheim am Taunus
Hofheim am Taunus is a town in the German state of Hesse, located near Frankfurt within the Taunus mountain region.
-
C.
Schwalbach am Taunus
Schwalbach am Taunus is a small town in the Main-Taunus district of Hesse, Germany, located near Frankfurt and known for its residential character and proximity to the Taunus hills.
-
D.
Nussloch
Nussloch is a small town in southwestern Germany, known in part for hosting the headquarters of medical technology company Leica Biosystems.
-
E.
Benneckenstein
Benneckenstein is a small town in central Germany located in the Harz mountain region, known for its scenic landscapes and outdoor recreation.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c90c5c8190a6de94b92db12210 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:24 p.m.