Triple
T20366435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegau |
E496921
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Hohenstoffeln
Hohenstoffeln is an extinct volcanic mountain in the Hegau region of southern Germany, known for its distinctive twin peaks and medieval castle ruins.
|
E1429833
|
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: Hohenstoffeln | Statement: [Hegau, hasLandmark, Hohenstoffeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenstoffeln Context triple: [Hegau, hasLandmark, Hohenstoffeln]
-
A.
Fürstenstein
Fürstenstein is a small Bavarian municipality in southeastern Germany, located in the rural Passau district near the Austrian border.
-
B.
Gräfenhainichen
Gräfenhainichen is a small town in Saxony-Anhalt, Germany, historically noted as the birthplace of the Lutheran hymn writer Paul Gerhardt.
-
C.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
D.
Schwanenburg
Schwanenburg is a historic hilltop castle in Kleve, Germany, known for its prominent tower and its role in regional medieval and early modern history.
-
E.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
- 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: Hohenstoffeln Triple: [Hegau, hasLandmark, Hohenstoffeln]
Generated description
Hohenstoffeln is an extinct volcanic mountain in the Hegau region of southern Germany, known for its distinctive twin peaks and medieval castle ruins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenstoffeln Target entity description: Hohenstoffeln is an extinct volcanic mountain in the Hegau region of southern Germany, known for its distinctive twin peaks and medieval castle ruins.
-
A.
Fürstenstein
Fürstenstein is a small Bavarian municipality in southeastern Germany, located in the rural Passau district near the Austrian border.
-
B.
Gräfenhainichen
Gräfenhainichen is a small town in Saxony-Anhalt, Germany, historically noted as the birthplace of the Lutheran hymn writer Paul Gerhardt.
-
C.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
D.
Schwanenburg
Schwanenburg is a historic hilltop castle in Kleve, Germany, known for its prominent tower and its role in regional medieval and early modern history.
-
E.
Wallenfels
Wallenfels is a small town in northern Bavaria, Germany, known for its scenic location in the Franconian Forest region.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67871bfdc8190948c46497cd675c9 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b0f8e4481908002adb56848e3e6 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088014c30c8190937586dc3f23862e |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08810e37c08190bd7e8b584204064c |
completed | May 16, 2026, 2:37 p.m. |
Created at: April 16, 2026, 11:26 a.m.