Triple

T7387707
Position Surface form Disambiguated ID Type / Status
Subject FPGA E170422 entity
Predicate uses P98 FINISHED
Object VHDL E237418 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: VHDL | Statement: [FPGA, uses, VHDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VHDL
Context triple: [FPGA, uses, VHDL]
  • A. VHDL chosen
    VHDL is a hardware description language used to model, simulate, and implement digital electronic systems such as FPGAs and CPLDs.
  • 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. ModelSim
    ModelSim is a widely used hardware description language (HDL) simulation and debugging environment for VHDL, Verilog, and SystemVerilog designs.
  • D. SystemVerilog
    SystemVerilog is a hardware description and verification language widely used to design, model, and verify complex digital integrated circuits and systems.
  • E. FPGA
    An FPGA (Field-Programmable Gate Array) is a reconfigurable integrated circuit that can be programmed after manufacturing to implement custom digital logic functions and hardware designs.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f3f5f48190aabe69ba79cbcb93 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e56fb48190976612d2a94d6ee5 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.