Triple
T27814924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFS |
E702632
|
entity |
| Predicate | lessOptimisedFor |
P114845
|
FINISHED |
| Object | small random writes |
—
|
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: small random writes | Statement: [GFS, lessOptimisedFor, small random writes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessOptimisedFor Context triple: [GFS, lessOptimisedFor, small random writes]
-
A.
lessOptimizedFor
chosen
Indicates that one entity is designed, configured, or adapted to perform a task or function with lower efficiency or effectiveness compared to 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.
lessFeatureRichThan
Indicates that one entity has fewer or less advanced features or capabilities than another entity.
-
D.
frontTypeOptimisation
Indicates an optimization process or strategy applied to the type or configuration of a front-facing component (such as a front end, front side, or leading part) to improve its performance or effectiveness.
-
E.
canBeOptimizedFor
Indicates that one entity is capable of being improved or adjusted to perform better with respect to another specified criterion, context, or target.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63869c1d88190855cda72cf1ef806 |
completed | May 2, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:45 p.m.