Triple
T29254014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio 1 |
E741646
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theme park main street |
C53606
|
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: theme park main street Context triple: [Studio 1, instanceOf, theme park main street]
-
A.
Main Street, U.S.A. attraction
chosen
A Main Street, U.S.A. attraction is a themed entertainment venue or experience located along the nostalgic, early-20th-century American main street area of a Disney-style park, designed to evoke small-town charm and serve as a gateway to the rest of the park.
-
B.
theme park setting
A theme park setting is a large, immersive entertainment environment organized around specific themes, featuring rides, attractions, performances, and themed areas designed to create a cohesive, fantastical experience for visitors.
-
C.
theme park entrance
The theme park entrance is the primary access point where guests transition from the outside world into the park, typically featuring ticketing, security, and iconic visual elements that establish the park’s identity and atmosphere.
-
D.
theme park facility
A theme park facility is a specialized venue or structure within a theme park designed to support attractions, entertainment, guest services, or operations, such as rides, theaters, restaurants, shops, or maintenance areas.
-
E.
theme park show
A theme park show is a live or pre-recorded entertainment performance within a theme park, designed to engage guests through storytelling, music, special effects, and character appearances that enhance the park’s overall themed experience.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 12:35 p.m.