Triple

T14086602
Position Surface form Disambiguated ID Type / Status
Subject RISC II E339012 entity
Predicate influenced P9 FINISHED
Object SPARC 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 | Statement: [RISC II, influenced, SPARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPARC
Context triple: [RISC II, influenced, SPARC]
  • A. 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.
  • B. 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.
  • C. SPARC International
    SPARC International is an industry consortium responsible for overseeing and promoting the SPARC processor architecture standard.
  • D. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • E. SPARC64 X
    SPARC64 X is a 64-bit SPARC microprocessor developed by Fujitsu for high-performance enterprise and server computing workloads.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:21 p.m.