Triple
T12514718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU As |
E299165
|
entity |
| Predicate | supportsTarget |
P5090
|
FINISHED |
| Object | Xtensa |
E426597
|
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: Xtensa | Statement: [GNU As, supportsTarget, Xtensa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xtensa Context triple: [GNU As, supportsTarget, Xtensa]
-
A.
Tensilica Xtensa LX6
chosen
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.
-
B.
Nios II
Nios II is a soft-core 32-bit RISC processor architecture developed by Altera (now Intel) for implementation on FPGA devices.
-
C.
MIPS R5000
The MIPS R5000 is a 64-bit RISC microprocessor from the MIPS family, widely used in mid-1990s workstations and embedded systems for its balance of performance and cost.
-
D.
MicroBlaze
MicroBlaze is a soft 32-bit RISC microprocessor core designed by Xilinx for implementation on its FPGA devices.
-
E.
Hitachi SH-4
The Hitachi SH-4 is a 32-bit RISC microprocessor known for its use in late-1990s gaming consoles and embedded systems, featuring strong floating-point performance for 3D graphics.
- 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.