Triple
T17758620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Flick |
E443308
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Siegen district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Siegen district | Statement: [Friedrich Flick, placeOfBirth, Siegen district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegen district Context triple: [Friedrich Flick, placeOfBirth, Siegen district]
-
A.
Paderborn district
Paderborn district is an administrative district in the German state of North Rhine-Westphalia, known for its historic city of Paderborn and its location in the eastern part of the state.
-
B.
Lippe district
Lippe district is a rural administrative district in the German state of North Rhine-Westphalia, known for its historic towns, natural landscapes, and cultural heritage linked to the former Principality of Lippe.
-
C.
Mettmann district
Mettmann district is an administrative district in the German state of North Rhine-Westphalia, known for its mix of industrial towns and suburban communities near Düsseldorf.
-
D.
Diepholz district
Diepholz district is a rural administrative district in Lower Saxony, Germany, known for its agricultural landscape, lakes, and small towns between Bremen and Osnabrück.
-
E.
Rhein-Sieg-Kreis
Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siegen district Target entity description: Siegen district is an administrative district in the German state of North Rhine-Westphalia, known for its industrial heritage and location in the Siegerland region.
-
A.
Paderborn district
Paderborn district is an administrative district in the German state of North Rhine-Westphalia, known for its historic city of Paderborn and its location in the eastern part of the state.
-
B.
Lippe district
Lippe district is a rural administrative district in the German state of North Rhine-Westphalia, known for its historic towns, natural landscapes, and cultural heritage linked to the former Principality of Lippe.
-
C.
Mettmann district
Mettmann district is an administrative district in the German state of North Rhine-Westphalia, known for its mix of industrial towns and suburban communities near Düsseldorf.
-
D.
Diepholz district
Diepholz district is a rural administrative district in Lower Saxony, Germany, known for its agricultural landscape, lakes, and small towns between Bremen and Osnabrück.
-
E.
Rhein-Sieg-Kreis
Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
- F. None of above. chosen
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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.