Triple
T12048360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSMC N3B |
E286845
|
entity |
| Predicate | powerPerformanceAreaFocus |
P102948
|
FINISHED |
| Object | PPA optimization |
—
|
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: PPA optimization | Statement: [TSMC N3B, powerPerformanceAreaFocus, PPA optimization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPerformanceAreaFocus Context triple: [TSMC N3B, powerPerformanceAreaFocus, PPA optimization]
-
A.
powerOptimizationFor
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
B.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
-
C.
performanceFocus
Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
-
D.
performanceArea
Indicates the area or space in which a performance, show, or event takes place.
-
E.
powerScope
Indicates the extent or domain within which an entity’s power, authority, or influence is valid or can be exercised.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.