Triple
T28807668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosch D-Jetronic |
E727422
|
entity |
| Predicate | mixtureAdjustment |
P31649
|
FINISHED |
| Object | analog calibration resistors and trimmers |
—
|
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: analog calibration resistors and trimmers | Statement: [Bosch D-Jetronic, mixtureAdjustment, analog calibration resistors and trimmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixtureAdjustment Context triple: [Bosch D-Jetronic, mixtureAdjustment, analog calibration resistors and trimmers]
-
A.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
-
B.
mixingStyle
Indicates how two or more elements are combined or blended together in a particular manner or technique.
-
C.
channelMixing
Indicates a relationship where content, signals, or resources from multiple channels are combined, blended, or interchanged into a unified or altered output.
-
D.
adjustmentType
chosen
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
E.
mixesElement
Indicates that one entity combines or blends another entity or element into a mixture or composite.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:29 a.m.