Triple

T24822289
Position Surface form Disambiguated ID Type / Status
Subject CGS-EMU system E621092 entity
Predicate usesCoherentUnit P158734 FINISHED
Object abvolt 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: abvolt | Statement: [CGS-EMU system, usesCoherentUnit, abvolt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCoherentUnit
Context triple: [CGS-EMU system, usesCoherentUnit, abvolt]
  • A. usesCoherentUnit chosen
    Indicates that one entity employs a consistent, logically compatible system of units in relation to another entity or context.
  • B. isCoherentSIUnit
    Indicates that a unit is a valid, internally consistent unit within the International System of Units (SI), derived strictly from SI base units without additional numerical factors.
  • C. isCoherentWithSI
    Indicates that something is consistent and compatible with the International System of Units (SI), adhering to its definitions, conventions, and relationships among units.
  • D. isNonCoherentWithSI
    Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
  • E. isCoherent
    Indicates that the elements of something are logically consistent, well-organized, and fit together in a unified, intelligible way.
  • 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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 5:04 a.m.