Triple
T25767328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Volt (first generation) |
E648919
|
entity |
| Predicate | secondaryEnergySource |
P67964
|
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: [Chevrolet Volt (first generation), secondaryEnergySource, gasoline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryEnergySource Context triple: [Chevrolet Volt (first generation), secondaryEnergySource, gasoline]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
-
C.
secondaryFuel
chosen
Indicates that an entity uses or is associated with a secondary (additional or backup) fuel source in addition to its primary fuel.
-
D.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
-
E.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 22, 2026, 5:11 a.m.