Triple
T4314307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön |
E94149
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Vogelsberg
Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
|
E435823
|
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: Vogelsberg | Statement: [Rhön, near, Vogelsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vogelsberg Context triple: [Rhön, near, Vogelsberg]
-
A.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
-
B.
Ettersberg
Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
-
C.
Schneeberg
Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
-
D.
Paterberg
Paterberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famous as a decisive climb in professional cycling races.
-
E.
Limpertsberg
Limpertsberg is an affluent residential and educational district of Luxembourg City known for its elegant townhouses, schools, and proximity to the city center.
- 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: Vogelsberg Triple: [Rhön, near, Vogelsberg]
Generated description
Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vogelsberg Target entity description: Vogelsberg is a large volcanic mountain range in the German state of Hesse, known for its forested highlands and rural landscapes.
-
A.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
-
B.
Ettersberg
Ettersberg is a hill and surrounding area near Weimar in Thuringia, Germany, historically known as the site of the Buchenwald concentration camp.
-
C.
Schneeberg
Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
-
D.
Paterberg
Paterberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famous as a decisive climb in professional cycling races.
-
E.
Limpertsberg
Limpertsberg is an affluent residential and educational district of Luxembourg City known for its elegant townhouses, schools, and proximity to the city center.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f4448481908be2c7df9cc71bb9 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4ef0ca881908d9811183adc26c4 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5b3ba208190b6cb5e40f9e744e8 |
completed | March 14, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e62af694819086b3eddb71f591d2 |
completed | March 14, 2026, 10:50 p.m. |
Created at: March 12, 2026, 11:12 p.m.