Triple
T24545360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti Motor Corporation |
E607207
|
entity |
| Predicate | usedFiberglassBodies |
P19785
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Avanti Motor Corporation, usedFiberglassBodies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedFiberglassBodies Context triple: [Avanti Motor Corporation, usedFiberglassBodies, true]
-
A.
usedChassisFor
Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
-
B.
carbodyMaterial
chosen
Indicates the material from which a vehicle’s body or main structural shell is made.
-
C.
engineUsedIn
Indicates that a particular engine is utilized as a component or power source within a specified system, device, or application.
-
D.
numberOfFuselages
Indicates the quantity of fuselages associated with or contained in a given object or configuration.
-
E.
fuselageCount
Indicates the number of fuselages associated with or contained in an aircraft or aerospace structure.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.