Triple
T634492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCA 1802 microprocessor |
E15992
|
entity |
| Predicate | fabricationProcess |
P625
|
FINISHED |
| Object | silicon-gate CMOS |
—
|
LITERAL 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: silicon-gate CMOS | Statement: [RCA 1802 microprocessor, fabricationProcess, silicon-gate CMOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fabricationProcess Context triple: [RCA 1802 microprocessor, fabricationProcess, silicon-gate CMOS]
-
A.
foundry
Indicates a relationship where an entity operates as or is associated with a foundry, typically involved in casting or producing metal or similar materials.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
D.
constructionMethod
chosen
Indicates the technique or process by which something is built, assembled, or created.
-
E.
materialMelted
Indicates that a material has undergone melting, transitioning from a solid to a liquid state.
- F. None of above.
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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.