Triple
T9099524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheingau |
E218115
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Johannisberg
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
|
E827754
|
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: Johannisberg | Statement: [Rheingau, hasSubregion, Johannisberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johannisberg Context triple: [Rheingau, hasSubregion, Johannisberg]
-
A.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
B.
Reinsberg
Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
-
C.
Hermannsberg
Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
-
D.
Bleidenstadt
Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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: Johannisberg Triple: [Rheingau, hasSubregion, Johannisberg]
Generated description
Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johannisberg Target entity description: Johannisberg is a renowned wine-growing area in Germany’s Rheingau region, historically famous for its high-quality Riesling wines.
-
A.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
B.
Reinsberg
Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
-
C.
Hermannsberg
Hermannsberg is a location in Germany known, among other things, as the place where the influential German educator Kurt Hahn died.
-
D.
Bleidenstadt
Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaa8135081909225810ee5355bc3 |
completed | April 5, 2026, 4:52 a.m. |
| NEDg | Description generation | batch_69d1ec05d39c81909debbe9ae7869379 |
completed | April 5, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ecd530e88190a92867a61b291106 |
completed | April 5, 2026, 5:02 a.m. |
Created at: March 30, 2026, 7:15 p.m.