Triple
T11330287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2.8L Cologne V6 |
E268323
|
entity |
| Predicate | typicalInductionSystem |
P98535
|
FINISHED |
| Object | single carburetor |
—
|
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: single carburetor | Statement: [2.8L Cologne V6, typicalInductionSystem, single carburetor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInductionSystem Context triple: [2.8L Cologne V6, typicalInductionSystem, single carburetor]
-
A.
inductionSystem
Indicates a relationship where an entity functions as or is associated with an induction-based system (e.g., using electromagnetic induction for operation or control).
-
B.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
C.
induction
Indicates the process by which one entity causes, initiates, or brings about a state, action, or condition in another.
-
D.
typicalCircuitType
Indicates that one entity is the usual or standard type of circuit associated with another entity.
-
E.
typicalCircuit
Indicates that one entity is a standard or commonly occurring circuit configuration or pattern associated with another entity.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.