Triple
T1162672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daimler-Benz DB 601 |
E24527
|
entity |
| Predicate | fuelInjectionType |
P3966
|
FINISHED |
| Object | mechanical direct injection |
—
|
LITERAL 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: mechanical direct injection | Statement: [Daimler-Benz DB 601, fuelInjectionType, mechanical direct injection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuelInjectionType Context triple: [Daimler-Benz DB 601, fuelInjectionType, mechanical direct injection]
-
A.
fuelSystem
Indicates a relationship where one entity serves as the fuel system (or part of it) that supplies, stores, or manages fuel for the operation of another entity.
-
B.
fuelForm
Indicates the physical or chemical form in which a fuel exists or is supplied (e.g., liquid, gas, solid).
-
C.
injectionType
chosen
Indicates the specific method or form by which an injection is administered or delivered.
-
D.
typicalFuel
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
E.
fuelTypeSupported
Indicates that a system, device, or component is capable of operating with or is designed to accept a specified type of fuel.
- F. None of above.
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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.