Triple
T14538361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parallel GC |
E341108
|
entity |
| Predicate | lessOptimizedFor |
P114845
|
FINISHED |
| Object | low latency workloads |
—
|
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: low latency workloads | Statement: [Parallel GC, lessOptimizedFor, low latency workloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessOptimizedFor Context triple: [Parallel GC, lessOptimizedFor, low latency workloads]
-
A.
lessFeatureRichThan
Indicates that one entity has fewer or less advanced features or capabilities than another entity.
-
B.
lessBasedOn
Indicates that one entity is derived from, influenced by, or dependent on another entity to a lesser or reduced extent compared to some reference level or alternative.
-
C.
minimizedBy
Indicates that one entity serves to reduce, lessen, or make as small as possible the value, effect, or impact of another entity.
-
D.
moreEfficientThan
Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
-
E.
isLessAccessibleThan
Indicates that one entity can be reached, used, or understood with more difficulty or under more constraints than another entity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:22 a.m.