Triple
T4195619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Bühler |
E89146
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Meckesheim
Meckesheim is a small municipality in southwestern Germany’s Rhine-Neckar region, known as a rural community with historical roots in Baden-Württemberg.
|
E423444
|
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: Meckesheim | Statement: [Karl Bühler, placeOfBirth, Meckesheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meckesheim Context triple: [Karl Bühler, placeOfBirth, Meckesheim]
-
A.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
B.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
C.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
- 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: Meckesheim Triple: [Karl Bühler, placeOfBirth, Meckesheim]
Generated description
Meckesheim is a small municipality in southwestern Germany’s Rhine-Neckar region, known as a rural community with historical roots in Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meckesheim Target entity description: Meckesheim is a small municipality in southwestern Germany’s Rhine-Neckar region, known as a rural community with historical roots in Baden-Württemberg.
-
A.
Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
-
B.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
C.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035e87148190a0f0bf48b813ffaa |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a84d00b8819082982c4d229c450e |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a983cfd88190b702c420d6dbc201 |
completed | March 14, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5aa00bcd88190ad2fba212861c712 |
completed | March 14, 2026, 6:33 p.m. |
Created at: March 9, 2026, 3:46 p.m.