Triple
T10878058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixaxis |
E256848
|
entity |
| Predicate | chargeInterface |
P21813
|
FINISHED |
| Object | Mini USB |
—
|
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: Mini USB | Statement: [Sixaxis, chargeInterface, Mini USB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargeInterface Context triple: [Sixaxis, chargeInterface, Mini USB]
-
A.
chargesVia
chosen
Indicates that one entity charges or powers another entity using a specified medium, method, or interface.
-
B.
charge
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
-
C.
chargeOnChief
Indicates that a formal accusation or legal charge is filed against a chief or primary authority figure.
-
D.
chargeType
Indicates the category or nature of a charge applied in a transaction or interaction between entities (e.g., fee type, billing classification, or legal charge type).
-
E.
mainCharge
Indicates that one charge in a set of legal accusations is designated as the primary or most significant offense.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ae92548190a3563c5b18650a32 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.