Triple
T26378126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altera HardCopy family |
E660952
|
entity |
| Predicate | advantageOverFPGAs |
P160581
|
FINISHED |
| Object | lower static power |
—
|
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: lower static power | Statement: [Altera HardCopy family, advantageOverFPGAs, lower static power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverFPGAs Context triple: [Altera HardCopy family, advantageOverFPGAs, lower static power]
-
A.
advantageOverFPGAs
chosen
Indicates that one entity possesses a benefit or superiority in some aspect when compared specifically to FPGAs.
-
B.
numberOfFloatingPointUnits
Indicates the quantity of floating-point processing units associated with or contained in an entity.
-
C.
integratedCryptographicAccelerators
Indicates that one entity includes built-in hardware components specifically designed to perform cryptographic operations for another entity or within a system.
-
D.
advantageOverSATA
Indicates that one entity has a performance or functional benefit when compared to SATA.
-
E.
advantageOverHDD
Indicates that one entity possesses a benefit, superiority, or improvement when compared to a hard disk drive (HDD).
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f61071a4c4819090729e0c9789cf21 |
completed | May 2, 2026, 2:55 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 11:02 p.m.