Triple
T11746235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylanders: Imaginators |
E279287
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Skylands |
E388334
|
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: Skylands | Statement: [Skylanders: Imaginators, setting, Skylands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skylands Context triple: [Skylanders: Imaginators, setting, Skylands]
-
A.
Skylands
chosen
Skylands is a vast, floating world of islands and magical realms that serves as the primary universe where the Skylanders games and adventures take place.
-
B.
Skyland
Skyland is a mountain resort area in Shenandoah National Park, Virginia, known for its scenic vistas along Skyline Drive.
-
C.
Backaland
Backaland is a small settlement on the Orkney island of Eday in Scotland.
-
D.
Töwerland
Töwerland is the poetic nickname for the North Sea island of Juist, known for its tranquil, car-free environment and natural beauty.
-
E.
Wooded Kingdom
Wooded Kingdom is a lush, forest-themed world in Super Mario Odyssey known for its mechanical flora, towering trees, and exploration-focused platforming challenges.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019f5f29c81909d80a9e6127ec6ef |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.