Triple

T9782900
Position Surface form Disambiguated ID Type / Status
Subject Verilog E237419 entity
Predicate influenced P9 FINISHED
Object SystemVerilog E365872 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: SystemVerilog | Statement: [Verilog, influenced, SystemVerilog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SystemVerilog
Context triple: [Verilog, influenced, SystemVerilog]
  • A. SystemVerilog chosen
    SystemVerilog is a hardware description and verification language widely used to design, model, and verify complex digital integrated circuits and systems.
  • B. Verilog
    Verilog is a hardware description language (HDL) used to model, design, and verify digital circuits and systems such as those implemented in CPLDs and FPGAs.
  • C. Bluespec SystemVerilog
    Bluespec SystemVerilog is a high-level hardware description language that extends Verilog with rule-based, functional programming concepts to enable more abstract and formally verifiable hardware design.
  • D. Verilog-AMS
    Verilog-AMS is a hardware description language that extends Verilog to support analog, mixed-signal, and multi-domain system modeling and simulation.
  • E. VHDL
    VHDL is a hardware description language used to model, simulate, and implement digital electronic systems such as FPGAs and CPLDs.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b5714481908bf74b8bf3e4e6e8 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4bb6008190b5111d42ceef52b7 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:27 p.m.