Triple
T19408319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Yorck von Wartenburg |
E485520
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object | Yorck |
—
|
NE NERFINISHED |
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: Yorck | Statement: [Ludwig Yorck von Wartenburg, hasPartInName, Yorck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorck Context triple: [Ludwig Yorck von Wartenburg, hasPartInName, Yorck]
-
A.
Yorck von Wartenburg
chosen
Yorck von Wartenburg was a Prussian field marshal renowned for his decisive role in the Napoleonic Wars, particularly in leading Prussian forces during key campaigns of the War of the Sixth Coalition.
-
B.
Leberecht
Leberecht is the given name of the 19th-century German astronomer Wilhelm Tempel, known for discovering several comets and asteroids.
-
C.
Philipp von Westphalen
Philipp von Westphalen was a German nobleman and politician who served as Minister of the Interior of Prussia in the mid-19th century.
-
D.
Ludwig von Westphalen
Ludwig von Westphalen was a Prussian aristocrat and government official best known as the father-in-law and early intellectual influence of Karl Marx.
-
E.
Hardenberg
Hardenberg is a municipality in the Dutch province of Overijssel, known for its rural landscapes, small towns, and location near the German border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af331108190b6b25ef8f386826e |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:36 p.m.