Triple
T37384826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Le Mans Series |
E928537
|
entity |
| Predicate | allowedFuelType |
P11927
|
FINISHED |
| Object | gasoline |
—
|
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: gasoline | Statement: [American Le Mans Series, allowedFuelType, gasoline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedFuelType Context triple: [American Le Mans Series, allowedFuelType, gasoline]
-
A.
fuelTypeSupported
chosen
Indicates that a system, device, or component is capable of operating with or is designed to accept a specified type of fuel.
-
B.
fuelTypeLicensed
Indicates that an entity is authorized or licensed to use, supply, or handle a specified type of fuel.
-
C.
laterFuelType
Indicates that one fuel type is used or adopted after another fuel type in time.
-
D.
fleetFuelType
Indicates the type of fuel used by a fleet as a whole or by vehicles within that fleet.
-
E.
hasFuelGrade
Indicates that an entity (such as a fuel or fueling point) is associated with a specific fuel grade or quality classification.
- 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:16 p.m.