Triple
T7387709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FPGA |
E170422
|
entity |
| Predicate | uses |
P98
|
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: [FPGA, uses, SystemVerilog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SystemVerilog Context triple: [FPGA, uses, 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.
VHDL
VHDL is a hardware description language used to model, simulate, and implement digital electronic systems such as FPGAs and CPLDs.
-
D.
ModelSim
ModelSim is a widely used hardware description language (HDL) simulation and debugging environment for VHDL, Verilog, and SystemVerilog designs.
-
E.
SVA
SVA is the ICAO airline designator used to identify Saudia, the flag carrier airline of Saudi Arabia, in international aviation operations.
- 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.