Triple
T32512095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itchy and Scratchy Land area (in some depictions) |
E830962
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional amusement park area |
C24826
|
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 amusement park area Context triple: [Itchy and Scratchy Land area (in some depictions), instanceOf, fictional amusement park area]
-
A.
fictional amusement park
chosen
A fictional amusement park is an imagined entertainment venue featuring themed attractions, rides, and experiences that exist only within a narrative or creative work.
-
B.
amusement garden
An amusement garden is a landscaped outdoor space that combines traditional garden features with recreational attractions and playful installations designed for entertainment and leisure.
-
C.
theme park fictional organization
A theme park fictional organization is an imagined company or institution that operates within a theme park setting, providing narrative structure, branding, and in-world justification for attractions, characters, and guest experiences.
-
D.
amusement park attraction area
An amusement park attraction area is a designated section within an amusement park that groups together themed rides, games, and entertainment experiences to create a cohesive and immersive visitor environment.
-
E.
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.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1 a.m.