Triple
T5350899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behemoth |
E124174
|
entity |
| Predicate | themePark |
P4283
|
FINISHED |
| Object | Canada's Wonderland |
E23337
|
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: Canada's Wonderland | Statement: [Behemoth, themePark, Canada's Wonderland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canada's Wonderland Context triple: [Behemoth, themePark, Canada's Wonderland]
-
A.
Canada's Wonderland
chosen
Canada's Wonderland is a major amusement park near Toronto known for its large collection of roller coasters and family attractions.
-
B.
Phantasialand
Phantasialand is a major German theme park known for its highly themed lands and innovative roller coasters and attractions.
-
C.
King's Island
King's Island is the historic core of Limerick city, Ireland, known for landmarks like King John’s Castle and its medieval streetscape.
-
D.
Waldameer Park & Water World
Waldameer Park & Water World is a historic family amusement and water park featuring roller coasters, water slides, and classic rides near the Lake Erie shoreline.
-
E.
Kings Dominion
Kings Dominion is a large amusement and theme park in Doswell, Virginia, known for its roller coasters and family attractions.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860fe4048190846a933d0e1b9386 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77ac8e3c8190a846955a9eb65905 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 20, 2026, 2:01 p.m.