Triple
T7980245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel UHD Graphics 615 |
E185551
|
entity |
| Predicate | targetPerformanceLevel |
P80141
|
FINISHED |
| Object | entry-level graphics |
—
|
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: entry-level graphics | Statement: [Intel UHD Graphics 615, targetPerformanceLevel, entry-level graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPerformanceLevel Context triple: [Intel UHD Graphics 615, targetPerformanceLevel, entry-level graphics]
-
A.
achievementLevel
Indicates the degree or extent to which an entity has attained a particular goal, standard, or performance outcome.
-
B.
targetCurriculumLevel
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
targetScoreRule
Indicates the rule or criteria used to determine the target score to be achieved or applied in a given context.
-
E.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:14 p.m.