Triple
T19549102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThyssenKrupp AG |
E489151
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | ThyssenKrupp Industrial Solutions |
—
|
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: ThyssenKrupp Industrial Solutions | Statement: [ThyssenKrupp AG, hasDivision, ThyssenKrupp Industrial Solutions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ThyssenKrupp Industrial Solutions Context triple: [ThyssenKrupp AG, hasDivision, ThyssenKrupp Industrial Solutions]
-
A.
ThyssenKrupp AG
ThyssenKrupp AG is a major German multinational conglomerate specializing in industrial engineering and steel production, with significant operations in areas such as elevators, automotive components, and plant technology.
-
B.
Siemens–Duewag
Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
-
C.
Dürr AG
Dürr AG is a German engineering company known globally for its production and automation technologies, particularly in painting, finishing, and environmental systems for the automotive and manufacturing industries.
-
D.
Klöckner Group
Klöckner Group is a German-based industrial company, historically active in steel and metal distribution, whose name has been used for various sponsorships and facilities such as Klöckner Stadium.
-
E.
Otto Group
Otto Group is a major German multinational retail and services conglomerate best known for its e-commerce, logistics, and mail-order businesses.
- 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: ThyssenKrupp Industrial Solutions Target entity description: ThyssenKrupp Industrial Solutions is an engineering and construction company specializing in industrial plants and systems, particularly for the chemical, cement, mining, and energy sectors.
-
A.
ThyssenKrupp AG
chosen
ThyssenKrupp AG is a major German multinational conglomerate specializing in industrial engineering and steel production, with significant operations in areas such as elevators, automotive components, and plant technology.
-
B.
Siemens–Duewag
Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
-
C.
Dürr AG
Dürr AG is a German engineering company known globally for its production and automation technologies, particularly in painting, finishing, and environmental systems for the automotive and manufacturing industries.
-
D.
Klöckner Group
Klöckner Group is a German-based industrial company, historically active in steel and metal distribution, whose name has been used for various sponsorships and facilities such as Klöckner Stadium.
-
E.
Otto Group
Otto Group is a major German multinational retail and services conglomerate best known for its e-commerce, logistics, and mail-order businesses.
- F. None of above.
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2f39188190976e8b6b111499a0 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.