Triple

T11958154
Position Surface form Disambiguated ID Type / Status
Subject GAS E284603 entity
Predicate supports P516 FINISHED
Object SPARC architecture 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 architecture | Statement: [GAS, supports, SPARC architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPARC architecture
Context triple: [GAS, supports, SPARC architecture]
  • A. 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.
  • B. SPARC
    SPARC is a core project of the World Climate Research Programme that focuses on understanding the role of the stratosphere and upper troposphere in the Earth’s climate system.
  • C. RISC architecture
    RISC architecture is a CPU design philosophy that uses a small, highly optimized set of simple instructions to achieve high performance and efficiency.
  • D. RISC
    RISC is an Austrian research institute specializing in symbolic computation, computer algebra, and related areas of mathematics and computer science.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.