Triple
T21431501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet 409 cubic inch V8 |
E528695
|
entity |
| Predicate | notableCarburetion |
P131228
|
FINISHED |
| Object | dual 4-barrel carburetors |
—
|
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: dual 4-barrel carburetors | Statement: [Chevrolet 409 cubic inch V8, notableCarburetion, dual 4-barrel carburetors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCarburetion Context triple: [Chevrolet 409 cubic inch V8, notableCarburetion, dual 4-barrel carburetors]
-
A.
numberOfCarburetors
Indicates the quantity of carburetors associated with a given entity.
-
B.
carburettorType
chosen
Indicates the specific type or classification of carburettor associated with an engine or vehicle.
-
C.
fuelEnrichment
Indicates the degree to which a fuel has been processed to increase the concentration of its active or fissile component relative to its natural state.
-
D.
carbonation
Indicates that a substance, typically a beverage, has been infused with carbon dioxide gas, resulting in bubbles or fizziness.
-
E.
fuelFraction
Indicates the proportion of an object's total mass or capacity that consists 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:49 p.m.