Triple
T20098969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zollernalbkreis |
E496480
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wehingen
Wehingen is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
|
E1445181
|
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: Wehingen | Statement: [Zollernalbkreis, contains, Wehingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wehingen Context triple: [Zollernalbkreis, contains, Wehingen]
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
-
C.
Pfaffenweiler
Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
-
D.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
E.
Dornheim
Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
- 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: Wehingen Triple: [Zollernalbkreis, contains, Wehingen]
Generated description
Wehingen is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wehingen Target entity description: Wehingen is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
-
C.
Pfaffenweiler
Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
-
D.
Worringen
Worringen is a district in the northern part of Cologne, Germany, historically notable as the site of the 1288 Battle of Worringen.
-
E.
Dornheim
Dornheim is a small village in Thuringia, Germany, historically noted as the place where Johann Sebastian Bach married Maria Barbara Bach.
- 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_6a08d7c821a08190bacd148d57c9be93 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8aa839c81908be2c3e5c8f54ef5 |
completed | May 16, 2026, 8:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d9784a08819080de2a65fc129e94 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 11, 2026, 11:26 p.m.