Triple

T18294095
Position Surface form Disambiguated ID Type / Status
Subject Frame Relay E438186 entity
Predicate operatesAtOSIModelLayer P11823 FINISHED
Object Layer 2 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: Layer 2 | Statement: [Frame Relay, operatesAtOSIModelLayer, Layer 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesAtOSIModelLayer
Context triple: [Frame Relay, operatesAtOSIModelLayer, Layer 2]
  • A. OSIModelLayer
    Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
  • B. linkLayer
    Indicates a relationship where one entity is connected to another at the data link (Layer 2) level of a network stack, enabling direct frame-level communication between them.
  • C. networkLayerIndependence
    Indicates that the relationship or action remains valid and unaffected regardless of the underlying network layer or transport mechanism used.
  • D. roleInProtocolStack
    Indicates the specific function or position an entity occupies within a layered communication or protocol stack.
  • E. protocolLayer chosen
    Indicates a relationship where a communication protocol operates at, or is associated with, a specific layer in a protocol stack or network architecture.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5010205bc8190a32fe731ead3d988 completed April 19, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69e44fdf43d08190bbcfb6b1fe3cc0ee completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:35 a.m.