Triple
T14268271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UltraSPARC T2 |
E353708
|
entity |
| Predicate | architecture |
P4621
|
FINISHED |
| Object | SPARC V9 |
E68040
|
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: SPARC V9 | Statement: [UltraSPARC T2, architecture, SPARC V9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPARC V9 Context triple: [UltraSPARC T2, architecture, SPARC V9]
-
A.
SPARC64 VII
SPARC64 VII is a 64-bit RISC microprocessor from Fujitsu’s SPARC family, designed for high-performance, enterprise-class UNIX servers.
-
B.
SPARC64 X
SPARC64 X is a 64-bit SPARC microprocessor developed by Fujitsu for high-performance enterprise and server computing workloads.
-
C.
MIPS R5000
The MIPS R5000 is a 64-bit RISC microprocessor from the MIPS family, widely used in mid-1990s workstations and embedded systems for its balance of performance and cost.
-
D.
Hitachi SH-4
The Hitachi SH-4 is a 32-bit RISC microprocessor known for its use in late-1990s gaming consoles and embedded systems, featuring strong floating-point performance for 3D graphics.
-
E.
SPARC microprocessor architecture
chosen
The SPARC microprocessor architecture is a RISC-based instruction set architecture widely used in high-performance and enterprise servers, originally created to power scalable, multi-processor systems.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32682a0481908918570a778e185a |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.