Triple
T8247265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devuan |
E192878
|
entity |
| Predicate | supportsArchitecture |
P5090
|
FINISHED |
| Object | ARM64 |
E229087
|
NE 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: ARM64 | Statement: [Devuan, supportsArchitecture, ARM64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM64 Context triple: [Devuan, supportsArchitecture, ARM64]
-
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.
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.
-
C.
ARM
ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
-
D.
ARM
ARM is the National Rail station code for Armadale railway station in West Lothian, Scotland.
-
E.
ARM
ARM is the three-letter International Olympic Committee country code representing Armenia in the Olympic Games.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7875318c819095f971ba513c54fd |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd680b0f608190b69336228346b47d |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:48 p.m.