Triple
T20098972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bärenthal
Bärenthal is a small municipality in the Zollernalbkreis district of Baden-Württemberg in southwestern Germany.
|
E1413960
|
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: Bärenthal | Statement: [Zollernalbkreis, contains, Bärenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bärenthal Context triple: [Zollernalbkreis, contains, Bärenthal]
-
A.
Bärenstein
Bärenstein is a small municipality in the Ore Mountains of Saxony, Germany, near the Czech border.
-
B.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
C.
Haigerloch
Haigerloch is a small historic town in the Zollernalb district of Baden-Württemberg, Germany, known for its picturesque old town and former role in Germany’s World War II nuclear research.
-
D.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
-
E.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
- 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: Bärenthal Triple: [Zollernalbkreis, contains, Bärenthal]
Generated description
Bärenthal is a small municipality in the Zollernalbkreis district of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bärenthal Target entity description: Bärenthal is a small municipality in the Zollernalbkreis district of Baden-Württemberg in southwestern Germany.
-
A.
Bärenstein
Bärenstein is a small municipality in the Ore Mountains of Saxony, Germany, near the Czech border.
-
B.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
C.
Haigerloch
Haigerloch is a small historic town in the Zollernalb district of Baden-Württemberg, Germany, known for its picturesque old town and former role in Germany’s World War II nuclear research.
-
D.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
-
E.
Kammeltal
Kammeltal is a municipality in the Bavarian region of Swabia in southern Germany.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666e306c81909c0ef617e0f6fccf |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dcee3088190b4d7f37bd2652bc6 |
completed | May 16, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_6a082f11c60c81909b112216661b85fe |
completed | May 16, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0830b3d9c08190a78ace19148a3bdd |
completed | May 16, 2026, 8:54 a.m. |
Created at: April 11, 2026, 11:26 p.m.