Triple
T10156380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Applied Materials |
E233786
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | semiconductor equipment supplier |
C27504
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: semiconductor equipment supplier Context triple: [Applied Materials, instanceOf, semiconductor equipment supplier]
-
A.
semiconductor manufacturing facility
A semiconductor manufacturing facility is a highly controlled industrial plant where raw silicon wafers are processed through complex, precise, and cleanroom-based fabrication steps to produce integrated circuits and microchips.
-
B.
semiconductor manufacturing process
The semiconductor manufacturing process is a highly controlled, multi-step sequence of fabrication, patterning, doping, and layering operations used to transform raw silicon wafers into functional integrated circuits and microchips.
-
C.
electronic design automation company
An electronic design automation company develops and provides software tools and services that enable engineers to design, simulate, verify, and optimize electronic systems and integrated circuits.
-
D.
semiconductor engineer
A semiconductor engineer designs, develops, and optimizes microelectronic devices and integrated circuits by applying principles of materials science, electrical engineering, and manufacturing processes.
-
E.
Fabless semiconductor company
A fabless semiconductor company is a business that designs and sells integrated circuits and other semiconductor devices while outsourcing the actual manufacturing to specialized fabrication plants (foundries).
- F. None of above. chosen
Provenance (1 batch)
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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 9:09 p.m.