Triple
T13114920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Brown Bag |
E311068
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | shopping bag |
C3146
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: shopping bag Context triple: [Big Brown Bag, instanceOf, shopping bag]
-
A.
sack
chosen
A sack is a flexible, typically cloth or plastic container used for holding, carrying, or storing loose or bulk materials.
-
B.
pocket
A pocket is a small, typically flat pouch sewn into or onto clothing or bags, used for carrying or storing small items.
-
C.
grab-and-go shop
A grab-and-go shop is a small retail outlet designed for quick, self-service purchase of prepackaged food, drinks, and everyday essentials with minimal waiting time.
-
D.
baggage car
A baggage car is a railroad car designed primarily for transporting passengers' luggage and other cargo, often attached to passenger trains.
-
E.
hat shop
A hat shop is a retail establishment that specializes in designing, displaying, and selling a variety of hats and headwear to customers.
- F. None of above.
Provenance (1 batch)
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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:06 p.m.