Triple
T18128367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Neustadt an der Aisch-Bad Windsheim |
E433942
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bad Windsheim |
—
|
NE NERFINISHED |
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 Windsheim | Statement: [Landkreis Neustadt an der Aisch-Bad Windsheim, namedAfter, Bad Windsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Windsheim Context triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, namedAfter, Bad Windsheim]
-
A.
Bad Windsheim
chosen
Bad Windsheim is a historic spa town in northern Bavaria, Germany, known for its thermal baths and well-preserved medieval architecture.
-
B.
Windsheim
Windsheim is a historic town in northern Bavaria, Germany, known today as Bad Windsheim, noted for its medieval architecture and spa traditions.
-
C.
Bad Wörishofen
Bad Wörishofen is a spa town in Bavaria, Germany, renowned as the birthplace of Sebastian Kneipp’s hydrotherapy and wellness treatments.
-
D.
Bad Dürrheim
Bad Dürrheim is a spa town in southwestern Germany known for its health resorts and saline baths.
-
E.
Bad Wildungen
Bad Wildungen is a German spa town in the state of Hesse, known for its mineral springs, health resorts, and extensive parklands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf061b48190b67356f1c266b80a |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.