Triple
T1452547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krupp |
E31323
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
ThyssenKrupp AG
ThyssenKrupp AG is a major German multinational industrial conglomerate known for its steel production, engineering, and technology services.
|
E31323
|
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: ThyssenKrupp AG | Statement: [Krupp, successor, ThyssenKrupp AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ThyssenKrupp AG Context triple: [Krupp, successor, ThyssenKrupp AG]
-
A.
ArcelorMittal
ArcelorMittal is a multinational steel manufacturing corporation and one of the world’s largest steel producers, headquartered in Luxembourg.
-
B.
Daimler AG
Daimler AG was a major German multinational automotive corporation best known as the longtime manufacturer and corporate parent behind the Mercedes-Benz brand.
-
C.
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.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Siemens
Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
- 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: ThyssenKrupp AG Triple: [Krupp, successor, ThyssenKrupp AG]
Generated description
ThyssenKrupp AG is a major German multinational industrial conglomerate known for its steel production, engineering, and technology services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ThyssenKrupp AG Target entity description: ThyssenKrupp AG is a major German multinational industrial conglomerate known for its steel production, engineering, and technology services.
-
A.
ArcelorMittal
ArcelorMittal is a multinational steel manufacturing corporation and one of the world’s largest steel producers, headquartered in Luxembourg.
-
B.
Daimler AG
Daimler AG was a major German multinational automotive corporation best known as the longtime manufacturer and corporate parent behind the Mercedes-Benz brand.
-
C.
Krupp (company)
chosen
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.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Siemens
Siemens is a major German multinational conglomerate best known for its leading roles in industrial manufacturing, energy, healthcare technology, and infrastructure solutions worldwide.
- F. None of above.
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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57d34cc8190801b769d9d9b2e2e |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a0adb0819096c560e8aa317016 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad167e85488190be549df90e892fed |
completed | March 8, 2026, 6:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad16c8df5c819089809f2eee6f27ee |
completed | March 8, 2026, 6:27 a.m. |
Created at: March 1, 2026, 8 p.m.