Triple
T13366091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karstadt |
E318941
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rudolf Karstadt |
E1037014
|
NE FINISHED |
How this triple was built (2 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: Rudolf Karstadt | Statement: [Karstadt, namedAfter, Rudolf Karstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Karstadt Context triple: [Karstadt, namedAfter, Rudolf Karstadt]
-
A.
Rudolf Karstadt
chosen
Rudolf Karstadt was a German entrepreneur best known for establishing the Karstadt chain of department stores, which became one of Germany’s major retail enterprises.
-
B.
Leonhard Tietz
Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
-
C.
Werner Scholl
Werner Scholl was the younger brother of Hans and Sophie Scholl, associated with the White Rose resistance circle in Nazi Germany.
-
D.
Helmut Friedrichs
Helmut Friedrichs was a Nazi Party official who served as a State Secretary in the Party Chancellery under Adolf Hitler’s regime in Germany.
-
E.
Heinz Bühler
Heinz Bühler is a notable individual who shares the German surname Bühler, recognized as a distinguished bearer of that name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730687e548190ab1504d43f250e09 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:32 p.m.