Triple
T9917842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Disneyland |
E185914
|
entity |
| Predicate | hasThemedLand |
P13439
|
FINISHED |
| Object | Toontown |
E173784
|
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: Toontown | Statement: [Tokyo Disneyland, hasThemedLand, Toontown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toontown Context triple: [Tokyo Disneyland, hasThemedLand, Toontown]
-
A.
Toontown
Toontown is the vibrant, cartoon-filled fictional city where animated characters live and interact with humans in the film "Who Framed Roger Rabbit."
-
B.
Mickey's Toontown
chosen
Mickey's Toontown is a whimsical, cartoon-themed land in Disney parks where guests can explore the colorful homes and neighborhoods of Mickey Mouse and his friends.
-
C.
Mickey's Toontown Depot
Mickey's Toontown Depot is a themed railroad station in Disneyland Park that serves as the stop for the Disneyland Railroad in the Mickey's Toontown area.
-
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.
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.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5673f108190914e0c172dddc65f |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dec42848190ab9f8663155df83f |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.