Triple
T1675031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disneyland Park |
E36211
|
entity |
| Predicate | hasArea |
P175
|
FINISHED |
| Object | Frontierland |
E189404
|
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: Frontierland | Statement: [Disneyland Park, hasArea, Frontierland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frontierland Context triple: [Disneyland Park, hasArea, Frontierland]
-
A.
Frontierland
chosen
Frontierland is a themed land in Disney parks that evokes the American Old West with frontier towns, rivers, and classic Western attractions.
-
B.
Frontierland Station
Frontierland Station is a themed train stop in the Frontierland area of Walt Disney World’s Magic Kingdom, serving as one of the main boarding points for the park’s steam-powered railroad.
-
C.
Fantasyland Station
Fantasyland Station is a themed stop on the Walt Disney World Railroad in Magic Kingdom, serving guests traveling to and from the park’s Fantasyland 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6247ec408190bc25d694b3238fa4 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ac15c3c8190ba730217efd69a77 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:29 p.m.