Triple
T10988068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Kissingen (district) |
E259682
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sulzthal
Sulzthal is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural character and Franconian cultural setting.
|
E930305
|
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: Sulzthal | Statement: [Bad Kissingen (district), contains, Sulzthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulzthal Context triple: [Bad Kissingen (district), contains, Sulzthal]
-
A.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
B.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
E.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
- 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: Sulzthal Triple: [Bad Kissingen (district), contains, Sulzthal]
Generated description
Sulzthal is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural character and Franconian cultural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sulzthal Target entity description: Sulzthal is a small municipality in the Bad Kissingen district of northern Bavaria, Germany, known for its rural character and Franconian cultural setting.
-
A.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
B.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
E.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e623e44c188190b5b83cf8f397554c |
completed | April 20, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69e62aee8fb88190b5973c61e692087f |
completed | April 20, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e67394e7f081908fcc602c84eb4a65 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 8, 2026, 9:24 p.m.