Triple
T16407933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Nauheim |
E398483
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Sprudelhof
Sprudelhof is a historic Art Nouveau spa complex in Bad Nauheim, Germany, renowned for its ornate bathhouses and central fountain courtyards.
|
E1212346
|
NE FINISHED |
How this triple was built (4 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: Sprudelhof | Statement: [Bad Nauheim, hasLandmark, Sprudelhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprudelhof Context triple: [Bad Nauheim, hasLandmark, Sprudelhof]
-
A.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
-
B.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
D.
Pfaffenstein
Pfaffenstein is a prominent table mountain in Germany’s Elbe Sandstone Mountains, known for its striking rock formations and popular hiking routes.
-
E.
Kubschütz
Kubschütz is a small municipality in the German state of Saxony, located near the town of Bautzen and known for its rural character and Sorbian cultural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sprudelhof Triple: [Bad Nauheim, hasLandmark, Sprudelhof]
Generated description
Sprudelhof is a historic Art Nouveau spa complex in Bad Nauheim, Germany, renowned for its ornate bathhouses and central fountain courtyards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sprudelhof Target entity description: Sprudelhof is a historic Art Nouveau spa complex in Bad Nauheim, Germany, renowned for its ornate bathhouses and central fountain courtyards.
-
A.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
-
B.
Heiderhof
Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Porschdorf
Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
-
D.
Pfaffenstein
Pfaffenstein is a prominent table mountain in Germany’s Elbe Sandstone Mountains, known for its striking rock formations and popular hiking routes.
-
E.
Kubschütz
Kubschütz is a small municipality in the German state of Saxony, located near the town of Bautzen and known for its rural character and Sorbian cultural heritage.
- F. None of above. chosen
Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dfdd4f88190b86db12bb9c7217a |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e953ca88190bb7c64c12a46c666 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.