Triple

T15304798
Position Surface form Disambiguated ID Type / Status
Subject SystemVerilog E365872 entity
Predicate basedOn P98 FINISHED
Object Verilog E237419 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: Verilog | Statement: [SystemVerilog, basedOn, Verilog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verilog
Context triple: [SystemVerilog, basedOn, Verilog]
  • A. Verilog chosen
    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.
  • B. VHDL
    VHDL is a hardware description language used to model, simulate, and implement digital electronic systems such as FPGAs and CPLDs.
  • C. SystemVerilog
    SystemVerilog is a hardware description and verification language widely used to design, model, and verify complex digital integrated circuits and systems.
  • D. Altera Hardware Description Language
    Altera Hardware Description Language (AHDL) is a proprietary hardware description language developed by Altera for designing and implementing digital logic circuits on its programmable logic devices.
  • E. 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.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccef14c819099c5ebe962e7f867 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89d961481909be8dcc2864982c9 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.