Triple
T12514692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU As |
E299165
|
entity |
| Predicate | supportsTarget |
P5090
|
FINISHED |
| Object | Nios II |
E724162
|
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: Nios II | Statement: [GNU As, supportsTarget, Nios II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nios II Context triple: [GNU As, supportsTarget, Nios II]
-
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.
MicroBlaze
MicroBlaze is a soft 32-bit RISC microprocessor core designed by Xilinx for implementation on its FPGA devices.
-
C.
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.
-
D.
Tensilica Xtensa LX6
Tensilica Xtensa LX6 is a customizable 32-bit RISC processor core widely used in embedded systems for its efficient performance and low power consumption, notably in Espressif’s ESP32 SoCs.
-
E.
MIPS II
MIPS II is the second-generation version of the MIPS instruction set architecture, extending the original design with additional instructions and features for improved performance and functionality.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541e752c8190bf12d2b5a37b53df |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.