Triple

T19028139
Position Surface form Disambiguated ID Type / Status
Subject Ios E465664 entity
Predicate alsoKnownAs P39 FINISHED
Object Nios NE NERFINISHED

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: Nios | Statement: [Ios, alsoKnownAs, Nios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nios
Context triple: [Ios, alsoKnownAs, Nios]
  • A. Nios II chosen
    Nios II is a soft-core 32-bit RISC processor architecture developed by Altera (now Intel) for implementation on FPGA devices.
  • B. MIPS R2000
    The MIPS R2000 is an early 32-bit RISC microprocessor that helped popularize the MIPS architecture in academic and commercial systems during the late 1980s.
  • 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. Ivory microprocessor
    The Ivory microprocessor is a specialized Lisp processor designed to efficiently run Symbolics' advanced AI and symbolic computing systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73ec9088190a98e214bd56e8622 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.