Triple
T23124854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bad Soden-Salmünster
Bad Soden-Salmünster is a spa town in the German state of Hesse, known for its thermal baths and health resorts.
|
E1570965
|
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: Bad Soden-Salmünster | Statement: [Main-Kinzig-Kreis, contains, Bad Soden-Salmünster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Soden-Salmünster Context triple: [Main-Kinzig-Kreis, contains, Bad Soden-Salmünster]
-
A.
Schwabmünchen
Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
-
B.
Bad Soden am Taunus
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.
-
C.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
D.
Korntal-Münchingen
Korntal-Münchingen is a small town in the German state of Baden-Württemberg, near Stuttgart, known for its residential character and local industry.
-
E.
Gärtringen
Gärtringen is a municipality in the German state of Baden-Württemberg, located southwest of Stuttgart.
- 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: Bad Soden-Salmünster Triple: [Main-Kinzig-Kreis, contains, Bad Soden-Salmünster]
Generated description
Bad Soden-Salmünster is a spa town in the German state of Hesse, known for its thermal baths and health resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Soden-Salmünster Target entity description: Bad Soden-Salmünster is a spa town in the German state of Hesse, known for its thermal baths and health resorts.
-
A.
Schwabmünchen
Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
-
B.
Bad Soden am Taunus
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.
-
C.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
D.
Korntal-Münchingen
Korntal-Münchingen is a small town in the German state of Baden-Württemberg, near Stuttgart, known for its residential character and local industry.
-
E.
Gärtringen
Gärtringen is a municipality in the German state of Baden-Württemberg, located southwest of Stuttgart.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f25dec8190984bc2dafd008a48 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.