Triple
T36797834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleetwood Metal Body Company |
E909233
|
entity |
| Predicate | vehicleClassWorkedOn |
P145772
|
FINISHED |
| Object | luxury sedans |
—
|
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: luxury sedans | Statement: [Fleetwood Metal Body Company, vehicleClassWorkedOn, luxury sedans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleClassWorkedOn Context triple: [Fleetwood Metal Body Company, vehicleClassWorkedOn, luxury sedans]
-
A.
vehicleClassServed
chosen
Indicates the class or type of vehicle that a service, facility, or operation is designed to accommodate or serve.
-
B.
mainVehicleClass
Indicates the primary category or type of vehicle to which an entity chiefly belongs.
-
C.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
-
D.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
E.
vehicleType
Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.