Triple
T15820489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data Link Layer |
E383592
|
entity |
| Predicate | decapsulates |
P101028
|
FINISHED |
| Object | frames into Network Layer packets |
—
|
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: frames into Network Layer packets | Statement: [Data Link Layer, decapsulates, frames into Network Layer packets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decapsulates Context triple: [Data Link Layer, decapsulates, frames into Network Layer packets]
-
A.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
-
B.
decipheredFrom
Indicates that something has been interpreted, decoded, or understood based on information derived from another source.
-
C.
decomposesIn
chosen
Indicates that one entity breaks down or separates into another entity or set of entities as its components or products.
-
D.
declassified
Indicates that information or material has been officially downgraded from a restricted or secret status, making it accessible to a wider audience or the public.
-
E.
disassembledAfter
Indicates that one entity was taken apart or broken down into its components at a point in time later than another specified event or state.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a7ba4881908a2747bf063d79f1 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.