Triple
T17517193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tensilica Xtensa LX6 |
E426597
|
entity |
| Predicate | coreCountInTypicalSoC |
P11223
|
FINISHED |
| Object | 2 (in ESP32 dual-core variants) |
—
|
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: 2 (in ESP32 dual-core variants) | Statement: [Tensilica Xtensa LX6, coreCountInTypicalSoC, 2 (in ESP32 dual-core variants)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreCountInTypicalSoC Context triple: [Tensilica Xtensa LX6, coreCountInTypicalSoC, 2 (in ESP32 dual-core variants)]
-
A.
coreCountCPU
chosen
Indicates the number of processing cores that a CPU has.
-
B.
coreCountInA16
Indicates the number of processing cores contained within an A16 unit or component.
-
C.
gpuCoreCount
Indicates the number of processing cores present in a GPU.
-
D.
bigCoreCount
Indicates that an entity (such as a processor or system) has a relatively large number of cores compared to a typical or baseline configuration.
-
E.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.