Triple
T12514597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | paste |
E299163
|
entity |
| Predicate | serialModeDescription |
P105368
|
FINISHED |
| Object | paste one file at a time instead of in parallel |
—
|
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: paste one file at a time instead of in parallel | Statement: [paste, serialModeDescription, paste one file at a time instead of in parallel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serialModeDescription Context triple: [paste, serialModeDescription, paste one file at a time instead of in parallel]
-
A.
signalingMode
Indicates the method or mechanism by which one entity communicates or transmits signals to another.
-
B.
duplexMode
Indicates whether a communication link or device operates in half-duplex or full-duplex mode, defining if data can flow in one or both directions simultaneously.
-
C.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
-
D.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
E.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
- F. None of above. chosen
Provenance (4 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.