Triple

T8832148
Position Surface form Disambiguated ID Type / Status
Subject Penning trap E210170 entity
Predicate mainComponents P14071 FINISHED
Object ring electrode 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: ring electrode | Statement: [Penning trap, mainComponents, ring electrode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainComponents
Context triple: [Penning trap, mainComponents, ring electrode]
  • A. primaryComponent
    Indicates that one entity serves as the main or most important component within another entity or system.
  • B. mainFunctions
    Indicates that the subject serves as the primary or central functional component or role for the object.
  • C. component1 chosen
    Indicates that one entity functions as a constituent or part of another entity within a larger whole.
  • D. component3
    Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
  • E. mainClasses
    Indicates that the subject represents the primary or most important classes associated with, defined within, or central to the object.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69cc5c23d08481908d8c9b0ad3d1dc00 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:47 p.m.