Triple
T26895752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outlands |
E677893
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | territory in The Lion King franchise |
C22344
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: territory in The Lion King franchise Context triple: [Outlands, instanceOf, territory in The Lion King franchise]
-
A.
fictional African savanna kingdom
chosen
A fictional African savanna kingdom is a richly imagined realm set amid vast grasslands, where diverse tribes, wildlife, and spiritual traditions intertwine under a distinctive political and cultural order shaped by the rhythms and challenges of the savanna environment.
-
B.
location in the Jurassic Park franchise
A "location in the Jurassic Park franchise" represents any distinct geographic or constructed setting—such as islands, facilities, enclosures, or visitor areas—where narrative events involving dinosaurs and human characters take place.
-
C.
Zootopia character
A Zootopia character is an anthropomorphic animal inhabitant of the diverse, modern metropolis of Zootopia, each with distinct species traits, personality, and role within the city’s social ecosystem.
-
D.
Disney media franchise setting
A Disney media franchise setting is a cohesive fictional world or universe, originating from Disney properties, that provides the shared backdrop, rules, and locations for interconnected stories, characters, and media products.
-
E.
region of the Land of Oz
A region of the Land of Oz is a distinct geographical and cultural area within Oz, characterized by its own landmarks, inhabitants, and local customs.
- F. None of above.
Provenance (1 batch)
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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 27, 2026, 5:47 a.m.