Triple
T18202505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vogelsberg |
E435823
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Taufstein
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
|
E1312660
|
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: Taufstein | Statement: [Vogelsberg, highestPoint, Taufstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taufstein Context triple: [Vogelsberg, highestPoint, Taufstein]
-
A.
Eibenberg
Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
-
B.
Heiligenberg
Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
-
C.
Hünenberg
Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
-
D.
Rorschacherberg
Rorschacherberg is a municipality in the canton of St. Gallen in northeastern Switzerland, situated above Lake Constance with views over the lake and surrounding region.
-
E.
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
- 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: Taufstein Triple: [Vogelsberg, highestPoint, Taufstein]
Generated description
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taufstein Target entity description: Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
-
A.
Eibenberg
Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, Germany.
-
B.
Heiligenberg
Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
-
C.
Hünenberg
Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
-
D.
Rorschacherberg
Rorschacherberg is a municipality in the canton of St. Gallen in northeastern Switzerland, situated above Lake Constance with views over the lake and surrounding region.
-
E.
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e220dca48190b54dabbd3c7c99b7 |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f0c08588190b9e78e29a086e0da |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fcd9548819088b6f89a24e5f14e |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a14b22208190b4f18bff55367dc9 |
completed | May 12, 2026, 9:53 p.m. |
Created at: April 10, 2026, 10:32 a.m.