Triple
T3088520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muppet*Vision 3D |
E64431
|
entity |
| Predicate | area |
P175
|
FINISHED |
| Object | Hollywood Land |
E191812
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hollywood Land | Statement: [Muppet*Vision 3D, area, Hollywood Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollywood Land Context triple: [Muppet*Vision 3D, area, Hollywood Land]
-
A.
Hollywood Land
chosen
Hollywood Land is a themed area in Disney California Adventure Park that evokes the golden age of Hollywood with attractions, entertainment, and streets styled after classic movie-era Los Angeles.
-
B.
Window of the World theme park
Window of the World theme park is a large cultural and tourist attraction in Shenzhen featuring miniature replicas of famous landmarks from around the globe.
-
C.
Storybook Land
Storybook Land is a fairy tale–themed amusement park in Aberdeen, South Dakota, featuring storybook characters, themed rides, and attractions for young children and families.
-
D.
Discoveryland
Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
-
E.
Disneytown
Disneytown is an outdoor shopping, dining, and entertainment district adjacent to Shanghai Disneyland, featuring themed restaurants, retail stores, and live performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20b99a4819090c3d3e08ed556ad |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a1fdc48190ae1c2fb9e5198336 |
completed | March 11, 2026, 11:20 p.m. |
Created at: March 8, 2026, 3:03 p.m.