Triple
T8489322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iveco |
E200926
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Magirus-Deutz |
E318785
|
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: Magirus-Deutz | Statement: [Iveco, formedByMergerOf, Magirus-Deutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magirus-Deutz Context triple: [Iveco, formedByMergerOf, Magirus-Deutz]
-
A.
Deutz AG
chosen
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
-
B.
Putzmeister
Putzmeister is a German manufacturer renowned for its concrete pumps and other high-performance construction machinery used on major infrastructure projects worldwide.
-
C.
Diehl
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
D.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
E.
Krauss-Maffei Wegmann
Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5581d308190b47d76dd49a36529 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a4e5be48190b5c598123ef75f8b |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:13 p.m.