Triple

T20271137
Position Surface form Disambiguated ID Type / Status
Subject 10GBASE-E E499094 entity
Predicate usesLANPHY P10595 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: [10GBASE-E, usesLANPHY, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLANPHY
Context triple: [10GBASE-E, usesLANPHY, yes]
  • A. usedByNetwork
    Indicates that something is utilized or operated by a particular network.
  • B. usesPhysicalLayerSimilarTo chosen
    Indicates that one entity employs a physical layer that is similar in structure, technology, or operational characteristics to that used by another entity.
  • C. usesBasebandTransmission
    Indicates that one entity employs baseband transmission, meaning it sends digital signals directly over a communication medium without modulating them onto a higher-frequency carrier.
  • D. usesPhysicalLanes
    Indicates that an entity operates or organizes movement through distinct, physically separated lanes or pathways.
  • E. usesIP
    Indicates that one entity makes use of, operates through, or is associated with a particular IP address.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675de35188190840dc7d04c1d5fd9 completed April 20, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:42 p.m.