Triple

T637939
Position Surface form Disambiguated ID Type / Status
Subject 10GBASE-T E16665 entity
Predicate laneCount P18336 FINISHED
Object 4 pairs 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: 4 pairs | Statement: [10GBASE-T, laneCount, 4 pairs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laneCount
Context triple: [10GBASE-T, laneCount, 4 pairs]
  • A. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • B. hasTrafficDirection
    Indicates that there is a specified flow or orientation of traffic associated with an entity (such as a road, lane, or route).
  • C. roadFeature
    Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
  • D. roadSystemLength
    Indicates the total length or extent of a road network associated with an entity.
  • E. roadwayCarries
    Indicates that a roadway serves as a route that supports or conveys a particular transportation facility, traffic flow, or designated use.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69a4a1794a60819092b3dc3344426ed7 completed March 1, 2026, 8:28 p.m.
Created at: March 1, 2026, 7:35 p.m.