Triple

T15030984
Position Surface form Disambiguated ID Type / Status
Subject Kaluza–Klein theory E378341 entity
Predicate geometrizes P43784 FINISHED
Object electromagnetism 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: electromagnetism | Statement: [Kaluza–Klein theory, geometrizes, electromagnetism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geometrizes
Context triple: [Kaluza–Klein theory, geometrizes, electromagnetism]
  • A. geometricInterpretation chosen
    Indicates a relationship where one entity provides or embodies a geometric meaning, representation, or visualization of another entity.
  • B. geometricSetting
    Indicates the spatial or geometric context within which an object, relation, or event is defined or occurs.
  • C. geodesicsAre
    Indicates that certain paths or curves in a space are geodesics, i.e., they locally minimize distance or follow the straightest possible trajectory according to the space’s geometry.
  • D. geometricConfiguration
    Indicates the specific spatial arrangement and relationships among parts or elements within a geometric structure.
  • E. geometricFunction
    Indicates a relationship where one entity serves as a geometric transformation or operation that, when applied, produces or modifies another geometric entity.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 2:59 a.m.