Triple
T11926116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson V-Rod |
E283785
|
entity |
| Predicate | fuelCapacityApprox |
P19393
|
FINISHED |
| Object | 14 liters |
—
|
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: 14 liters | Statement: [Harley-Davidson V-Rod, fuelCapacityApprox, 14 liters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuelCapacityApprox Context triple: [Harley-Davidson V-Rod, fuelCapacityApprox, 14 liters]
-
A.
fuelCapacityLiters
chosen
Indicates the amount of fuel a vehicle or container can hold, measured in liters.
-
B.
fuelCapacityKg
Indicates the maximum amount of fuel an entity can hold, measured in kilograms.
-
C.
fuelTankConfiguration
Indicates how a system’s fuel tanks are arranged, connected, or structured relative to one another.
-
D.
hasFuelStorage
Indicates that one entity possesses or is equipped with a facility, container, or system used to store fuel for later use.
-
E.
hasBackupDieselCapacityApprox
Indicates that an entity possesses an approximate amount of backup diesel-powered capacity available for use.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.