Triple
T22265560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea’s Next Top Model |
E550341
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | modeling competition |
C23288
|
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: modeling competition Context triple: [Korea’s Next Top Model, instanceOf, modeling competition]
-
A.
modeling competition series
chosen
A modeling competition series is a reality television show format in which aspiring models compete in a series of fashion, runway, and photo-based challenges for a prize such as a modeling contract, cash, or industry exposure.
-
B.
hierarchical competition structure
A hierarchical competition structure is an organized system in which competitors are arranged in ranked levels or tiers, with advancement or status determined by performance against others within and across these levels.
-
C.
competition policy platform
A competition policy platform is a digital system that centralizes tools, data, and workflows to design, analyze, and enforce rules that promote fair market competition and prevent anti-competitive behavior.
-
D.
intellectual competition
An intellectual competition is an organized event in which individuals or teams challenge each other’s knowledge, reasoning, or problem-solving abilities within defined rules and criteria for evaluation.
-
E.
artificial intelligence competition
An artificial intelligence competition is an organized event where participants develop and pit AI systems against each other to solve defined tasks or challenges under specified rules and evaluation criteria.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:39 p.m.