Triple
T8704944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
E206624
|
entity |
| Predicate | performanceTier |
P51866
|
FINISHED |
| Object | mid-range |
—
|
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: mid-range | Statement: [NVIDIA GeForce RTX 3050 Ti Laptop GPU, performanceTier, mid-range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceTier Context triple: [NVIDIA GeForce RTX 3050 Ti Laptop GPU, performanceTier, mid-range]
-
A.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
B.
performanceClass
chosen
Indicates the category or level of performance to which an entity is assigned, typically reflecting its capabilities or quality tier.
-
C.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
D.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
E.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fb43f081909df5d1e31cb1ec04 |
completed | March 31, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:34 p.m.