Triple

T22057192
Position Surface form Disambiguated ID Type / Status
Subject quantum Hall effect E545049 entity
Predicate quantizedHallConductance P97849 FINISHED
Object integer multiples of e^2/h 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: integer multiples of e^2/h | Statement: [quantum Hall effect, quantizedHallConductance, integer multiples of e^2/h]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: quantizedHallConductance
Context triple: [quantum Hall effect, quantizedHallConductance, integer multiples of e^2/h]
  • A. magneticChargeQuantization
    Indicates that the magnetic charge of an entity can only take on discrete, quantized values rather than varying continuously.
  • B. topologicalCharge chosen
    Indicates that an entity possesses a specific topological invariant (topological charge) characterizing its global, deformation-resistant configuration or defect structure.
  • C. isQuantumOf
    Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
  • D. electricalConductivity
    Indicates that one entity has the ability to conduct electric current through it, typically quantified as a measure of how easily charge flows within that material or medium.
  • E. treatsAsQuantumSystem
    Indicates that one entity regards or models another entity as a quantum system, subject to quantum mechanical description or analysis.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:27 p.m.