Triple
T2608844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Minister of Labour and Social Affairs of Germany |
E58725
|
entity |
| Predicate | hasAuthorityOver |
P544
|
FINISHED |
| Object |
German Social Accident Insurance (policy supervision)
The German Social Accident Insurance is Germany’s statutory accident insurance system responsible for preventing occupational accidents and diseases and providing rehabilitation and compensation to affected workers.
|
E282480
|
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: German Social Accident Insurance (policy supervision) | Statement: [Federal Minister of Labour and Social Affairs of Germany, hasAuthorityOver, German Social Accident Insurance (policy supervision)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Social Accident Insurance (policy supervision) Context triple: [Federal Minister of Labour and Social Affairs of Germany, hasAuthorityOver, German Social Accident Insurance (policy supervision)]
-
A.
Bismarck’s social insurance laws
Bismarck’s social insurance laws were pioneering late-19th-century German welfare measures that introduced state-backed health, accident, and old-age insurance, laying the foundation for modern social security systems.
-
B.
Workers' Accident Insurance Institute for the Kingdom of Bohemia
The Workers' Accident Insurance Institute for the Kingdom of Bohemia was an early 20th-century public insurance institution in Prague, best known as the long-time workplace of writer Franz Kafka, where it administered industrial accident and workers’ compensation coverage.
-
C.
Infection Protection Act of Germany
The Infection Protection Act of Germany is a federal law that regulates measures for preventing and controlling infectious diseases in humans, defining responsibilities and powers of health authorities across the country.
-
D.
Social Code Book V (statutory health insurance)
Social Code Book V is the central German legal framework governing statutory health insurance, defining the benefits, organization, and financing of public healthcare coverage.
-
E.
German public health service
The German public health service is the nationwide system of governmental institutions responsible for monitoring, protecting, and promoting public health in Germany.
- 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: German Social Accident Insurance (policy supervision) Triple: [Federal Minister of Labour and Social Affairs of Germany, hasAuthorityOver, German Social Accident Insurance (policy supervision)]
Generated description
The German Social Accident Insurance is Germany’s statutory accident insurance system responsible for preventing occupational accidents and diseases and providing rehabilitation and compensation to affected workers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: German Social Accident Insurance (policy supervision) Target entity description: The German Social Accident Insurance is Germany’s statutory accident insurance system responsible for preventing occupational accidents and diseases and providing rehabilitation and compensation to affected workers.
-
A.
Bismarck’s social insurance laws
Bismarck’s social insurance laws were pioneering late-19th-century German welfare measures that introduced state-backed health, accident, and old-age insurance, laying the foundation for modern social security systems.
-
B.
Workers' Accident Insurance Institute for the Kingdom of Bohemia
The Workers' Accident Insurance Institute for the Kingdom of Bohemia was an early 20th-century public insurance institution in Prague, best known as the long-time workplace of writer Franz Kafka, where it administered industrial accident and workers’ compensation coverage.
-
C.
Infection Protection Act of Germany
The Infection Protection Act of Germany is a federal law that regulates measures for preventing and controlling infectious diseases in humans, defining responsibilities and powers of health authorities across the country.
-
D.
Social Code Book V (statutory health insurance)
Social Code Book V is the central German legal framework governing statutory health insurance, defining the benefits, organization, and financing of public healthcare coverage.
-
E.
German public health service
The German public health service is the nationwide system of governmental institutions responsible for monitoring, protecting, and promoting public health in Germany.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd868acc481909444c99a621cdbec |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e1efb88190b79c2c6ac0e87647 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af84a15b5c8190bb68b6ff313adb6c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85aa5f548190a4ce1a4ff38ca5e3 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.