Triple
T16874228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiersbronn |
E421254
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ruhestein
Ruhestein is a mountain pass and popular outdoor recreation area in Germany’s Black Forest, known for hiking, winter sports, and its proximity to the Black Forest National Park.
|
E1248185
|
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: Ruhestein | Statement: [Baiersbronn, hasPart, Ruhestein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruhestein Context triple: [Baiersbronn, hasPart, Ruhestein]
-
A.
Rheineck
Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
-
B.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
C.
Neuenstein
Neuenstein is a small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its historic castle and role as an administrative center.
-
D.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
E.
Uttenreuth
Uttenreuth is a small municipality in Bavaria, Germany, situated near the city of Erlangen.
- 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: Ruhestein Triple: [Baiersbronn, hasPart, Ruhestein]
Generated description
Ruhestein is a mountain pass and popular outdoor recreation area in Germany’s Black Forest, known for hiking, winter sports, and its proximity to the Black Forest National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruhestein Target entity description: Ruhestein is a mountain pass and popular outdoor recreation area in Germany’s Black Forest, known for hiking, winter sports, and its proximity to the Black Forest National Park.
-
A.
Rheineck
Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
-
B.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
C.
Neuenstein
Neuenstein is a small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its historic castle and role as an administrative center.
-
D.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
-
E.
Uttenreuth
Uttenreuth is a small municipality in Bavaria, Germany, situated near the city of Erlangen.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232992ec81909dbbd2e28111e8f4 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124ce490c81909d5cfd86b7dabb71 |
completed | May 11, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 5:29 a.m.