Triple
T8414339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVME147 |
E198696
|
entity |
| Predicate | hasEthernet |
P34297
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [MVME147, hasEthernet, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthernet Context triple: [MVME147, hasEthernet, yes]
-
A.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
B.
hasPhysicalInterface
Indicates that one entity provides or includes a tangible, hardware-based connection point or medium through which another entity can physically interact or communicate.
-
C.
hasCommunicationInterface
chosen
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
D.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
E.
hasCellularComponent
Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.