Triple
T2553196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teavana |
E56673
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tea retailer |
C10326
|
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: tea retailer Context triple: [Teavana, instanceOf, tea retailer]
-
A.
tea ship
A tea ship is a specialized vessel designed or used primarily for transporting, storing, and sometimes trading tea across maritime routes.
-
B.
coffeehouse
A coffeehouse is a social establishment where people gather to purchase and enjoy coffee, other beverages, and light food in a relaxed, often communal atmosphere.
-
C.
café
A café is a small, informal establishment where people can purchase and enjoy coffee, light meals, and snacks in a relaxed social setting.
-
D.
brewer
A brewer is a person or entity that specializes in creating beer or other fermented beverages through controlled brewing processes.
-
E.
brewery
A brewery is a facility where beer is produced through the processes of mashing, fermenting, conditioning, and packaging, often combining industrial equipment with craft-based techniques.
- F. None of above. chosen
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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
Created at: March 6, 2026, 9:48 p.m.