Triple
T20165965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp LR35902 |
E491824
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | ALU |
—
|
NE NERFINISHED |
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: ALU | Statement: [Sharp LR35902, hasComponent, ALU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALU Context triple: [Sharp LR35902, hasComponent, ALU]
-
A.
Arithmetic logic unit
chosen
An arithmetic logic unit (ALU) is a fundamental digital circuit in a computer processor that performs basic arithmetic and logical operations on binary data.
-
B.
Unidad Central Operativa
Unidad Central Operativa is a specialized investigative unit of Spain’s Guardia Civil focused on tackling serious and organized crime at the national level.
-
C.
Ivory microprocessor
The Ivory microprocessor is a specialized Lisp processor designed to efficiently run Symbolics' advanced AI and symbolic computing systems.
-
D.
MIPS
MIPS is an infrared imaging and photometry instrument that operated aboard the Spitzer Space Telescope, used to study celestial objects at multiple mid- to far-infrared wavelengths.
-
E.
MIPS
MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.