Triple
T28660565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WPTZ |
E725455
|
entity |
| Predicate | hasVirtualChannel |
P15184
|
FINISHED |
| Object | virtual channel 5 |
—
|
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: virtual channel 5 | Statement: [WPTZ, hasVirtualChannel, virtual channel 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVirtualChannel Context triple: [WPTZ, hasVirtualChannel, virtual channel 5]
-
A.
virtualChannel
chosen
Indicates that one entity is linked to another through a non-physical, software-defined communication channel used for transmitting data or signals.
-
B.
hasChannel
Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
-
C.
hasVirtualMachine
Indicates that one entity possesses, contains, or is associated with a virtual machine instance.
-
D.
hasVirtualTransfer
Indicates that one entity is transferred to another through a non-physical or digital/virtual means rather than a direct physical transfer.
-
E.
hasVirtualMethod
Indicates that a class or type defines a method that is declared as virtual, allowing it to be overridden in derived classes for polymorphic behavior.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 4:57 a.m.