Triple
T10988271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ostheim vor der Rhön
Ostheim vor der Rhön is a small historic town in northern Bavaria, Germany, known for its well-preserved medieval fortifications and location in the Rhön Mountains region.
|
E898341
|
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: Ostheim vor der Rhön | Statement: [Rhön-Grabfeld, contains, Ostheim vor der Rhön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostheim vor der Rhön Context triple: [Rhön-Grabfeld, contains, Ostheim vor der Rhön]
-
A.
Steinwiesen
Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
-
B.
Ostenfelde
Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
-
C.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Bad Schönau
Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
-
E.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
- 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: Ostheim vor der Rhön Triple: [Rhön-Grabfeld, contains, Ostheim vor der Rhön]
Generated description
Ostheim vor der Rhön is a small historic town in northern Bavaria, Germany, known for its well-preserved medieval fortifications and location in the Rhön Mountains region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostheim vor der Rhön Target entity description: Ostheim vor der Rhön is a small historic town in northern Bavaria, Germany, known for its well-preserved medieval fortifications and location in the Rhön Mountains region.
-
A.
Steinwiesen
Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
-
B.
Ostenfelde
Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
-
C.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Bad Schönau
Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
-
E.
Trassenheide
Trassenheide is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and tourism.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.