Triple
T7974569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markgräflerland |
E185411
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Badenweiler |
E259852
|
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: Badenweiler | Statement: [Markgräflerland, contains, Badenweiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badenweiler Context triple: [Markgräflerland, contains, Badenweiler]
-
A.
Badenweiler
chosen
Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
-
B.
Blaubeuren
Blaubeuren is a historic town in the Alb-Donau district of Baden-Württemberg, Germany, known for its medieval old town and the karst spring Blautopf.
-
C.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
-
D.
Bietigheim-Bissingen
Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its historic old town, wine-growing tradition, and location near Stuttgart.
-
E.
Waiblingen
Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8828faf48190927b2a6680f6b4d8 |
completed | April 2, 2026, 3:15 p.m. |
Created at: March 30, 2026, 5:14 p.m.