Triple
T21060824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKTexture |
E518841
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | SKTileMapNode |
—
|
NE NERFINISHED |
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: SKTileMapNode | Statement: [SKTexture, usedBy, SKTileMapNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKTileMapNode Context triple: [SKTexture, usedBy, SKTileMapNode]
-
A.
SKTileMapNode
chosen
SKTileMapNode is a SpriteKit class used to efficiently create and render grid-based tile maps for 2D games and applications.
-
B.
SKNode
SKNode is the fundamental building-block class in Apple's SpriteKit framework, representing a node in a scene graph that can display content or act as a container for other nodes.
-
C.
TileGX
TileGX is a family of many-core 64-bit VLIW processors developed by Tilera, designed for highly parallel, high-throughput computing tasks.
-
D.
SKLabelNode
SKLabelNode is a SpriteKit class used to display and render text labels within 2D game scenes.
-
E.
SCNNode
SCNNode is a fundamental SceneKit class representing a node in a 3D scene graph, used to position, transform, and organize visual content and other nodes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feaf3edc81909423e039cac6bd87 |
completed | April 21, 2026, 4:35 a.m. |
Created at: April 16, 2026, 2:37 p.m.