Triple
T10442146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fichtel Mountains |
E246194
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Röslaukopf
Röslaukopf is a mountain peak in Germany’s Fichtel Mountains, known for its forested slopes and regional hiking trails.
|
E866608
|
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: Röslaukopf | Statement: [Fichtel Mountains, hasPeak, Röslaukopf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röslaukopf Context triple: [Fichtel Mountains, hasPeak, Röslaukopf]
-
A.
Bärenkopf
Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
-
B.
Oberhalbstein
Oberhalbstein is a high Alpine valley and region in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and mountain landscapes.
-
C.
Witzmannsberg
Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
-
D.
Ochsenkopf
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
-
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: Röslaukopf Triple: [Fichtel Mountains, hasPeak, Röslaukopf]
Generated description
Röslaukopf is a mountain peak in Germany’s Fichtel Mountains, known for its forested slopes and regional hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Röslaukopf Target entity description: Röslaukopf is a mountain peak in Germany’s Fichtel Mountains, known for its forested slopes and regional hiking trails.
-
A.
Bärenkopf
Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
-
B.
Oberhalbstein
Oberhalbstein is a high Alpine valley and region in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and mountain landscapes.
-
C.
Witzmannsberg
Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
-
D.
Ochsenkopf
Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
-
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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc43e53081909e14cfe295d17cb2 |
completed | April 10, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69d8e8c683608190aa4333ed38e79f53 |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901c7684c8190837ed9ef0c2428af |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, 12:15 p.m.