Triple
T26409160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GHASH |
E663911
|
entity |
| Predicate | efficiencyReason |
P74576
|
FINISHED |
| Object | uses binary field arithmetic amenable to parallelization |
—
|
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: uses binary field arithmetic amenable to parallelization | Statement: [GHASH, efficiencyReason, uses binary field arithmetic amenable to parallelization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficiencyReason Context triple: [GHASH, efficiencyReason, uses binary field arithmetic amenable to parallelization]
-
A.
reasonForIneffectiveness
Indicates that one entity specifies the cause or explanation for why another entity is ineffective or fails to achieve its intended effect.
-
B.
performanceImprovementReason
chosen
Indicates the reason or cause behind an observed or intended improvement in performance.
-
C.
memoryEfficiencyReason
Indicates that there is an explanation or cause for why something is efficient in its use of memory resources.
-
D.
moreEfficientThan
Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
-
E.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610faa77081908956b6e8b5b1570c |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:37 p.m.