Triple
T6530464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyssen-Bornemisza family |
E152216
|
entity |
| Predicate | associatedCompany |
P629
|
FINISHED |
| Object | ThyssenKrupp |
E489151
|
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: ThyssenKrupp | Statement: [Thyssen-Bornemisza family, associatedCompany, ThyssenKrupp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ThyssenKrupp Context triple: [Thyssen-Bornemisza family, associatedCompany, ThyssenKrupp]
-
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.
ArcelorMittal
ArcelorMittal is a multinational steel manufacturing corporation and one of the world’s largest steel producers, headquartered in Luxembourg.
-
C.
Corus Group
Corus Group was a major British-Dutch steel company formed from the merger of British Steel and Koninklijke Hoogovens, later acquired by Tata Steel.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Krupp (company)
Krupp (company) was a major German industrial conglomerate best known for its steel production and armaments manufacturing, playing a central role in both World Wars and in the development of heavy industry in Germany.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41908f0819096e6e432509afe7d |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:46 p.m.