Triple
T12048359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSMC N3B |
E286845
|
entity |
| Predicate | featureSizeClass |
P62521
|
FINISHED |
| Object | sub-5-nm |
—
|
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: sub-5-nm | Statement: [TSMC N3B, featureSizeClass, sub-5-nm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureSizeClass Context triple: [TSMC N3B, featureSizeClass, sub-5-nm]
-
A.
sizeCategory
chosen
Indicates the relative size classification assigned to an entity compared to others (e.g., small, medium, large).
-
B.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
-
C.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
D.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
E.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.