Triple
T9223134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Rust |
E221611
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Kühnhausen
Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
|
E839137
|
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: Kühnhausen | Statement: [Bernhard Rust, placeOfDeath, Kühnhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kühnhausen Context triple: [Bernhard Rust, placeOfDeath, Kühnhausen]
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Kuppenheim
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
-
C.
Heckinghausen
Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
- 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: Kühnhausen Triple: [Bernhard Rust, placeOfDeath, Kühnhausen]
Generated description
Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kühnhausen Target entity description: Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
-
A.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
B.
Kuppenheim
Kuppenheim is a small town in the Rastatt district of Baden-Württemberg, southwestern Germany, situated near the Black Forest.
-
C.
Heckinghausen
Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Irschenhausen
Irschenhausen is a small village in Bavaria, Germany, known in part as the place where German field marshal Erich von Manstein died.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2997e60b081908c4982db477de5a1 |
completed | April 5, 2026, 5:18 p.m. |
| NEDg | Description generation | batch_69d29d7653f88190a0da1fe309f73968 |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29dcd9c108190b835b3a75ccc3277 |
completed | April 5, 2026, 5:37 p.m. |
Created at: March 30, 2026, 7:28 p.m.