Triple

T638001
Position Surface form Disambiguated ID Type / Status
Subject 10BASE2 E16666 entity
Predicate usesCSMACD P5994 FINISHED
Object yes 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: yes | Statement: [10BASE2, usesCSMACD, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCSMACD
Context triple: [10BASE2, usesCSMACD, yes]
  • A. 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.
  • B. usesPhysicalLayerSimilarTo
    Indicates that one entity employs a physical layer that is similar in structure, technology, or operational characteristics to that used by another entity.
  • C. hasBusArbitration chosen
    Indicates that one entity manages or participates in the control and coordination of access to a shared communication bus among multiple entities.
  • D. isTypicallyWiredUsing
    Indicates that one thing is commonly connected or implemented using a particular type of wiring or cabling.
  • E. congestionControlAlgorithm
    Indicates that one entity uses, implements, or is associated with a particular congestion control algorithm in managing network traffic.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a17b125481909a6ab53424954792 completed March 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69a49d0629308190bcc137639567f7c2 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.