Triple
T27960019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romance of the Three Kingdoms (video game series) |
E704554
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | historical simulation game series |
C34192
|
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: historical simulation game series Context triple: [Romance of the Three Kingdoms (video game series), instanceOf, historical simulation game series]
-
A.
turn-based strategy game series
chosen
A turn-based strategy game series is a collection of related games in which players take discrete, alternating turns to make tactical and strategic decisions, often managing resources, units, and territories over multiple scenarios or campaigns.
-
B.
economic simulation game
An economic simulation game is an interactive system where players manage resources, markets, and financial decisions to model and optimize economic outcomes within a virtual environment.
-
C.
flight simulation game series
A flight simulation game series is a collection of related video games that realistically model aircraft operation and aviation environments, often evolving over multiple installments with improved physics, graphics, and gameplay features.
-
D.
Let's Play series
A Let's Play series is a sequence of recorded or streamed gameplay videos in which a player plays through a game while providing commentary, reactions, and often guidance or entertainment for viewers.
-
E.
arcade game series
An arcade game series is a collection of related coin-operated video games sharing common themes, characters, or gameplay mechanics, typically released over time as sequels or spin-offs.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 7:31 p.m.