Triple
T8930102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maschinenbau-AG Nürnberg |
E212630
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | M.A.N. |
E766230
|
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: M.A.N. | Statement: [Maschinenbau-AG Nürnberg, shortName, M.A.N.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M.A.N. Context triple: [Maschinenbau-AG Nürnberg, shortName, M.A.N.]
-
A.
MAN Nutzfahrzeuge AG
chosen
MAN Nutzfahrzeuge AG was the former name of the German commercial vehicle manufacturer now known as MAN Truck & Bus, a major producer of trucks and buses in Europe.
-
B.
DAF Trucks
DAF Trucks is a Dutch manufacturer of commercial vehicles and heavy-duty trucks known for its reliable long-haul and distribution trucks across Europe and beyond.
-
C.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
D.
Deutz AG
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
-
E.
Scania
Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93587b081908e23c2a8c01b9516 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:57 p.m.