Triple

T13031870
Position Surface form Disambiguated ID Type / Status
Subject Néel wall E326460 entity
Predicate hasMagnetizationDirectionChange P107542 FINISHED
Object in-plane rotation between adjacent domains 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: in-plane rotation between adjacent domains | Statement: [Néel wall, hasMagnetizationDirectionChange, in-plane rotation between adjacent domains]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMagnetizationDirectionChange
Context triple: [Néel wall, hasMagnetizationDirectionChange, in-plane rotation between adjacent domains]
  • A. hasMagneticMoment
    Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
  • B. hasMagnetStatus
    Indicates that an entity possesses a specific magnet-related state or designation within a given context.
  • C. magnetizationProportionalTo
    Indicates that the magnetization of one entity varies in direct proportion to a specified quantity or property of another entity.
  • D. hasChangedOverTime
    Indicates that the state, value, or characteristics of an entity or relationship have become different at some point across a period of time.
  • E. magnetizationArisesFrom
    Indicates that a magnetization property or state is caused or generated by a specified underlying process, structure, or source.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efe72348190b52fb4068f5fb829 completed April 10, 2026, 10:51 p.m.
PD Predicate disambiguation batch_69d97dc39a0881908119c62e31bf6182 completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e3df2288190a7f27d31d248bb7f completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 8:54 p.m.