Triple
T17022657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton architecture |
E412983
|
entity |
| Predicate | performanceImplication |
P20527
|
FINISHED |
| Object | cache hierarchies used to mitigate bottleneck |
—
|
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: cache hierarchies used to mitigate bottleneck | Statement: [Princeton architecture, performanceImplication, cache hierarchies used to mitigate bottleneck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceImplication Context triple: [Princeton architecture, performanceImplication, cache hierarchies used to mitigate bottleneck]
-
A.
impactOnPerformance
chosen
Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
-
B.
performance
Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
-
C.
performanceDependsOn
Indicates that the quality or outcome of one entity’s performance is contingent upon or influenced by another specified factor or entity.
-
D.
performanceFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
E.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d1d2e48190bbcba129247c6c2e |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.