Triple
T1831479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaconda installer |
E40770
|
entity |
| Predicate | targetPlatform |
P5090
|
FINISHED |
| Object | ARM |
E13771
|
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: ARM | Statement: [Anaconda installer, targetPlatform, ARM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM Context triple: [Anaconda installer, targetPlatform, ARM]
-
A.
ARM
chosen
ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
-
B.
ARM Copper
ARM Copper is the copper-focused mining division of South African diversified mining company African Rainbow Minerals.
-
C.
Acorn RISC Machine
Acorn RISC Machine (ARM) is a family of energy-efficient reduced instruction set computer (RISC) architectures widely used in mobile devices, embedded systems, and increasingly in servers and personal computers.
-
D.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
-
E.
AMD processors
AMD processors are a family of CPUs and APUs from Advanced Micro Devices known for offering strong multi-core performance and competitive pricing across desktops, laptops, and mobile devices.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb022aef48190975b6d12fc6681ad |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb9f3354819097ce858a8706c324 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:32 p.m.