Triple
T10158766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCC |
E233834
|
entity |
| Predicate | dataChannelType |
P82649
|
FINISHED |
| Object | out-of-band relative to IRC text channel |
—
|
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: out-of-band relative to IRC text channel | Statement: [DCC, dataChannelType, out-of-band relative to IRC text channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataChannelType Context triple: [DCC, dataChannelType, out-of-band relative to IRC text channel]
-
A.
digitalChannelType
chosen
Indicates the type or category of digital channel through which an interaction, communication, or transaction occurs.
-
B.
dataBusType
Indicates the type or category of data bus used to transfer data between components or systems.
-
C.
dataPlaneType
Indicates the type or category of data plane through which data traffic or operations are carried out in a system or network.
-
D.
dataTransferType
Indicates the method or mode by which data is transmitted or exchanged between entities.
-
E.
virtualChannel
Indicates that one entity is linked to another through a non-physical, software-defined communication channel used for transmitting data or signals.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec56d944819081bc6ea36c905ba2 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.