Triple
T14587213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UltraSPARC I |
E342347
|
entity |
| Predicate | instructionSetArchitecture |
P8609
|
FINISHED |
| Object | SPARC V9 |
E1092459
|
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 I, instructionSetArchitecture, SPARC V9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPARC V9 Context triple: [UltraSPARC I, instructionSetArchitecture, SPARC V9]
-
A.
SPARC V9
chosen
SPARC V9 is a 64-bit RISC instruction set architecture developed by Sun Microsystems for high-performance, scalable SPARC processors.
-
B.
SPARC64 VII
SPARC64 VII is a 64-bit RISC microprocessor from Fujitsu’s SPARC family, designed for high-performance, enterprise-class UNIX servers.
-
C.
SPARC64 XII
SPARC64 XII is a high-performance 64-bit SPARC microprocessor developed by Fujitsu for enterprise and mission-critical server systems.
-
D.
SPARC64 X
SPARC64 X is a 64-bit SPARC microprocessor developed by Fujitsu for high-performance enterprise and server computing workloads.
-
E.
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.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9167b888190abb8f301b0c7c55b |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.