Triple
T27749894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Smart Cache |
E702088
|
entity |
| Predicate | allocationPolicy |
P77513
|
FINISHED |
| Object | demand-based allocation |
—
|
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: demand-based allocation | Statement: [Intel Smart Cache, allocationPolicy, demand-based allocation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocationPolicy Context triple: [Intel Smart Cache, allocationPolicy, demand-based allocation]
-
A.
placementPolicyDeterminedBy
Indicates that the rules or strategy for placing something are defined or governed by a particular source, authority, or policy-setting entity.
-
B.
allocation
Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
-
C.
ordinationPolicy
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
D.
allocationType
chosen
Indicates the specific manner or category by which resources, responsibilities, or items are assigned or distributed among entities.
-
E.
allocationShare
Indicates the proportion or portion of a total resource, amount, or benefit that is assigned to a particular entity within an allocation.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 4:19 p.m.