Triple
T26032513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nd Cube |
E647471
|
entity |
| Predicate | gameEngineUsage |
P159886
|
FINISHED |
| Object | Nintendo internal tools |
—
|
LITERAL 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: Nintendo internal tools | Statement: [Nd Cube, gameEngineUsage, Nintendo internal tools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameEngineUsage Context triple: [Nd Cube, gameEngineUsage, Nintendo internal tools]
-
A.
gameEngineUsage
chosen
Indicates that one entity (such as a project or product) uses or is built upon a particular game engine.
-
B.
gameEngine
Indicates that one entity serves as the game engine or core runtime system used to develop, run, or power another entity (such as a game or interactive application).
-
C.
gameEngineReuseIn
Indicates that one game reuses or is implemented using the game engine from another game or source.
-
D.
notableGameEngineUse
Indicates that an entity is notably or prominently used as a game engine for another entity (such as a game or project).
-
E.
notableGameEngineFor
Indicates that a particular game engine is especially recognized or significant for developing or powering a given game or set of games.
- F. None of above.
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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6061b1b5081908dc5e2ac3ac58619 |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:06 a.m.