Triple
T15999502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerVR2 |
E388058
|
entity |
| Predicate | polygonThroughput |
P120708
|
FINISHED |
| Object | 2–3 million polygons per second (approximate real-world, Dreamcast) |
—
|
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: 2–3 million polygons per second (approximate real-world, Dreamcast) | Statement: [PowerVR2, polygonThroughput, 2–3 million polygons per second (approximate real-world, Dreamcast)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polygonThroughput Context triple: [PowerVR2, polygonThroughput, 2–3 million polygons per second (approximate real-world, Dreamcast)]
-
A.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given context.
-
B.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
C.
passesThroughArea
Indicates that an entity moves or extends through the spatial region defined by another entity or area.
-
D.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
E.
levelCrossingsApproximate
Indicates that one quantity or function has level crossings that approximately coincide with those of another, within some tolerance.
- F. None of above. chosen
Provenance (4 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.