Triple
T31733308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMOS technology |
E809918
|
entity |
| Predicate | fabricationUses |
P1272
|
FINISHED |
| Object | silicon wafers |
—
|
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 wafers | Statement: [CMOS technology, fabricationUses, silicon wafers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fabricationUses Context triple: [CMOS technology, fabricationUses, silicon wafers]
-
A.
fabricationTechnology
Indicates the manufacturing or production method used to create or realize an entity.
-
B.
constructionUses
Indicates that a construction activity, project, or structure makes use of a specified material, method, tool, or resource.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
coFabricator
Indicates that two or more entities jointly fabricate, construct, or produce something together.
-
E.
inventionUsedIn
Indicates that a particular invention is utilized or applied within a specific context, process, product, or activity.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab2198c881908cc01f933f2b870b |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:22 p.m.