Triple
T2999779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Maybach |
E81157
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Maybach-Motorenbau |
E318782
|
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: Maybach-Motorenbau | Statement: [Wilhelm Maybach, founded, Maybach-Motorenbau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maybach-Motorenbau Context triple: [Wilhelm Maybach, founded, Maybach-Motorenbau]
-
A.
Mercedes-Benz
Mercedes-Benz is a German luxury automobile manufacturer renowned for its premium cars, engineering innovation, and iconic three-pointed star logo.
-
B.
Maybach
chosen
Maybach is a historic German luxury automobile and engine brand renowned for its high-end engineering and association with elite, chauffeur-driven cars.
-
C.
Steyr-Daimler-Puch
Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Deutz AG
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f8eb248190b50fd539a06a5a62 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dea057a48190a7911d8d6046dd3d |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 2:59 p.m.