Triple
T31415833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donner's Bakery |
E801390
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional bakery |
C60947
|
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: fictional bakery Context triple: [Donner's Bakery, instanceOf, fictional bakery]
-
A.
fictional diner
A fictional diner is an imagined, often nostalgically styled restaurant setting used in stories to provide a familiar social hub where characters gather, interact, and reveal aspects of the narrative’s world.
-
B.
fictional bookstore
A fictional bookstore is an imagined retail space, often in literature or media, that sells books and related items while serving as a narrative setting for character interactions, plot development, and thematic exploration.
-
C.
fictional barbershop
A fictional barbershop is an imagined grooming establishment that serves as a narrative setting where characters interact, share stories, and experience personal transformations amid haircuts and shaves.
-
D.
fictional factory
A fictional factory is an imagined industrial facility, often depicted in stories or media, where goods, ideas, or fantastical items are produced under unique or extraordinary conditions.
-
E.
fictional hotel
A fictional hotel is an imagined lodging establishment, often richly detailed in setting, atmosphere, and services, that serves as a narrative backdrop or central location in stories, films, games, or other creative works.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 8:43 p.m.