Triple

T4667976
Position Surface form Disambiguated ID Type / Status
Subject Heaviside–Lorentz units E102893 entity
Predicate hasBaseSystem P58736 FINISHED
Object centimetre–gram–second system 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: centimetre–gram–second system | Statement: [Heaviside–Lorentz units, hasBaseSystem, centimetre–gram–second system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBaseSystem
Context triple: [Heaviside–Lorentz units, hasBaseSystem, centimetre–gram–second system]
  • A. hasSupportBase
    Indicates that one entity serves as the supporting base or foundation upon which another entity rests, is mounted, or is structurally stabilized.
  • B. hasBaseISA
    Indicates that an entity’s base or fundamental type is a specified ISA (Instruction Set Architecture) or foundational classification.
  • C. hasParentSystem
    Indicates that one system is hierarchically contained within or derived from another, which serves as its parent system.
  • D. hasPackageSystem
    Indicates that an entity uses or is associated with a particular package management system for installing, updating, or managing software components.
  • E. establishedSystem
    Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6215864c8190b50ba0f63ba87d0c completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd655719dc8190beb6942f343a0ae7 completed March 20, 2026, 3:18 p.m.
Created at: March 20, 2026, 1:15 p.m.