Triple
T18256037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GHC |
E437224
|
entity |
| Predicate | targetPlatform |
P5090
|
FINISHED |
| Object | AArch64 |
—
|
NE NERFINISHED |
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: AArch64 | Statement: [GHC, targetPlatform, AArch64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AArch64 Context triple: [GHC, targetPlatform, AArch64]
-
A.
ARMv8-A
chosen
ARMv8-A is a 64-bit ARM processor architecture generation that introduces the AArch64 execution state and underpins many modern mobile and desktop CPUs.
-
B.
Linux AArch64
Linux AArch64 is the 64-bit ARM architecture port of the Linux operating system, commonly used in servers, mobile devices, and embedded systems for its power efficiency and performance.
-
C.
ARMv8.2-M
ARMv8.2-M is a 32-bit ARM microcontroller architecture revision that enhances the ARMv8-M family with improved performance, security, and DSP/ML capabilities for embedded and IoT applications.
-
D.
ARMv9-A
ARMv9-A is a modern 64-bit ARM architecture generation that introduces enhanced performance, security, and AI-focused features for advanced processors used in devices like Apple’s M-series chips.
-
E.
ARM SVE
ARM SVE (Scalable Vector Extension) is an ARM architecture extension that provides flexible, length-agnostic vector processing capabilities aimed at high-performance computing and data-intensive workloads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.