Triple
T4040471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet City Express platform |
E83932
|
entity |
| Predicate | cargoAreaConfiguration |
P13871
|
FINISHED |
| Object | enclosed cargo area |
—
|
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: enclosed cargo area | Statement: [Chevrolet City Express platform, cargoAreaConfiguration, enclosed cargo area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cargoAreaConfiguration Context triple: [Chevrolet City Express platform, cargoAreaConfiguration, enclosed cargo area]
-
A.
cargoSpace
chosen
Indicates that one entity provides storage capacity or room for carrying goods, equipment, or other items for another entity.
-
B.
hasPassengerArea
Indicates that an object or vehicle includes a designated area intended for carrying passengers.
-
C.
cargoCapacityFeature
Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
-
D.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
E.
cargoAccess
Indicates that an entity has permission or capability to access, enter, or interact with a cargo area or cargo-related contents.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb39400881909d0f5430f04e441c |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.