Triple
T2954743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCS Type 2 |
E79904
|
entity |
| Predicate | supportsCurrent |
P203
|
FINISHED |
| Object | up to several hundred amperes DC (implementation-dependent) |
—
|
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: up to several hundred amperes DC (implementation-dependent) | Statement: [CCS Type 2, supportsCurrent, up to several hundred amperes DC (implementation-dependent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCurrent Context triple: [CCS Type 2, supportsCurrent, up to several hundred amperes DC (implementation-dependent)]
-
A.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
B.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
-
C.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
D.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
E.
supportsDocument
Indicates that one entity provides compatibility or functionality for handling, processing, or using a particular document or document type.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.