Triple
T25932708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Mantle |
E653473
|
entity |
| Predicate | advantageOverTraditionalAPIs |
P159845
|
FINISHED |
| Object | better multi-core CPU utilization |
—
|
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: better multi-core CPU utilization | Statement: [AMD Mantle, advantageOverTraditionalAPIs, better multi-core CPU utilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverTraditionalAPIs Context triple: [AMD Mantle, advantageOverTraditionalAPIs, better multi-core CPU utilization]
-
A.
advantageOverTraditionalAPIs
chosen
Indicates that something provides a benefit or improvement when compared to traditional APIs.
-
B.
advantageOverApps
Indicates that one entity possesses a benefit or superiority when compared to applications (apps).
-
C.
advantageOverCookies
Indicates a comparative relationship where one option, method, or entity is considered to have benefits or superiority when compared specifically to cookies.
-
D.
hasAPIs
Indicates that one entity provides or exposes application programming interfaces (APIs) that can be used or accessed by another entity.
-
E.
advantageOverSMS
Indicates that one communication method or system has benefits or superior qualities compared to SMS.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60419ef7881909fe061a3d1aa1ddf |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:37 a.m.