Triple

T14268272
Position Surface form Disambiguated ID Type / Status
Subject UltraSPARC T2 E353708 entity
Predicate isa P637 FINISHED
Object SPARC V9
SPARC V9 is a 64-bit RISC instruction set architecture developed by Sun Microsystems for high-performance, scalable SPARC processors.
E1092459 NE FINISHED

How this triple was built (4 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, isa, SPARC V9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPARC V9
Context triple: [UltraSPARC T2, isa, 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 XII
    SPARC64 XII is a high-performance 64-bit SPARC microprocessor developed by Fujitsu for enterprise and mission-critical server systems.
  • C. SPARC64 X
    SPARC64 X is a 64-bit SPARC microprocessor developed by Fujitsu for high-performance enterprise and server computing workloads.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SPARC V9
Triple: [UltraSPARC T2, isa, SPARC V9]
Generated description
SPARC V9 is a 64-bit RISC instruction set architecture developed by Sun Microsystems for high-performance, scalable SPARC processors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SPARC V9
Target entity description: SPARC V9 is a 64-bit RISC instruction set architecture developed by Sun Microsystems for high-performance, scalable SPARC processors.
  • 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 XII
    SPARC64 XII is a high-performance 64-bit SPARC microprocessor developed by Fujitsu for enterprise and mission-critical server systems.
  • C. SPARC64 X
    SPARC64 X is a 64-bit SPARC microprocessor developed by Fujitsu for high-performance enterprise and server computing workloads.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69fd3d16bae881909b38ccf04f1cf823 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd40443c188190b12a82db1049dd9f completed May 8, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd42f275048190805e8f65db68c167 completed May 8, 2026, 1:57 a.m.
Created at: April 10, 2026, 1:10 a.m.