Triple
T17493387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katzenbuckel |
E425984
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Waldbrunn
Waldbrunn is a municipality in the Odenwald region of Baden-Württemberg, Germany, known for its proximity to the Katzenbuckel, the highest peak in the Odenwald.
|
E1279556
|
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: Waldbrunn | Statement: [Katzenbuckel, near, Waldbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldbrunn Context triple: [Katzenbuckel, near, Waldbrunn]
-
A.
Schwellbrunn
Schwellbrunn is a Swiss village and municipality known for its scenic rural setting in the hilly Appenzell region.
-
B.
Buchbrunn
Buchbrunn is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
C.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
D.
Wessobrunn
Wessobrunn is a Bavarian municipality best known for the Wessobrunn Abbey and its early medieval "Wessobrunn Prayer," one of the oldest poetic texts in the German language.
-
E.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
- 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: Waldbrunn Triple: [Katzenbuckel, near, Waldbrunn]
Generated description
Waldbrunn is a municipality in the Odenwald region of Baden-Württemberg, Germany, known for its proximity to the Katzenbuckel, the highest peak in the Odenwald.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waldbrunn Target entity description: Waldbrunn is a municipality in the Odenwald region of Baden-Württemberg, Germany, known for its proximity to the Katzenbuckel, the highest peak in the Odenwald.
-
A.
Schwellbrunn
Schwellbrunn is a Swiss village and municipality known for its scenic rural setting in the hilly Appenzell region.
-
B.
Buchbrunn
Buchbrunn is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
C.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
D.
Wessobrunn
Wessobrunn is a Bavarian municipality best known for the Wessobrunn Abbey and its early medieval "Wessobrunn Prayer," one of the oldest poetic texts in the German language.
-
E.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d6bd548190b4c6fae27c2a9ae8 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a85995081909423f5bc0f04f77d |
completed | May 11, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_6a020ceb9cb48190a557d0da2197a745 |
completed | May 11, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020d3f8df88190a4d018c08a2a5dec |
completed | May 11, 2026, 5:09 p.m. |
Created at: April 10, 2026, 5:48 a.m.