Triple
T34194360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz OM642 |
E877197
|
entity |
| Predicate | injectionSystemSupplier |
P178509
|
FINISHED |
| Object | Bosch |
—
|
NE NERFINISHED |
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: Bosch | Statement: [Mercedes-Benz OM642, injectionSystemSupplier, Bosch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: injectionSystemSupplier Context triple: [Mercedes-Benz OM642, injectionSystemSupplier, Bosch]
-
A.
injectorChain
Indicates a relationship where one entity serves as or belongs to a sequence of injectors that are applied in a specific order to another entity or process.
-
B.
hybridSystemSupplier
Indicates that one entity supplies or provides hybrid systems (combining multiple technologies or power sources) to another entity.
-
C.
injectsFrom
Indicates that a substance, data, or material is introduced or transferred from one source entity into another target entity via an injection process.
-
D.
previousInjector
Indicates that one entity served as the injector immediately before another in a sequence of injection events.
-
E.
jerseySupplier
Indicates that one entity supplies or provides jerseys to another entity, typically as part of an official equipment or sponsorship relationship.
- F. None of above. chosen
Provenance (4 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.