Triple
T9502559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α1 |
E229179
|
entity |
| Predicate | cardSlotType |
P5430
|
FINISHED |
| Object | CFexpress Type A / SD UHS-II combo |
—
|
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: CFexpress Type A / SD UHS-II combo | Statement: [Sony α1, cardSlotType, CFexpress Type A / SD UHS-II combo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardSlotType Context triple: [Sony α1, cardSlotType, CFexpress Type A / SD UHS-II combo]
-
A.
cardType
chosen
Indicates the classification or category assigned to a card within a given system or context.
-
B.
cardFunction
Indicates that one entity serves as the functional role, capability, or purpose associated with a card-related entity in a system.
-
C.
cardAcceptance
Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
-
D.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
E.
requiresCartridgeSlotOf
Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.