Triple
T8602653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AppleTalk Session Protocol |
E203716
|
entity |
| Predicate | operatesInLayer |
P6553
|
FINISHED |
| Object | session layer |
—
|
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: session layer | Statement: [AppleTalk Session Protocol, operatesInLayer, session layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInLayer Context triple: [AppleTalk Session Protocol, operatesInLayer, session layer]
-
A.
operatesOnLayer
Indicates that an entity performs actions or functions specifically targeting a particular layer within a layered structure or system.
-
B.
operationalLayer
Indicates that one entity functions as an operational layer or level through which another entity’s activities, processes, or services are executed or managed.
-
C.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
D.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
E.
OSIModelLayer
chosen
Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:24 p.m.