Triple

T380060
Position Surface form Disambiguated ID Type / Status
Subject Fermi surface E8657 entity
Predicate probedBy P202 FINISHED
Object de Haas–van Alphen effect
The de Haas–van Alphen effect is a quantum oscillatory phenomenon in metals where the magnetization varies periodically with applied magnetic field, allowing precise mapping of the electronic structure and Fermi surface.
E48478 NE FINISHED

How this triple was built (5 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: de Haas–van Alphen effect | Statement: [Fermi surface, probedBy, de Haas–van Alphen effect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Haas–van Alphen effect
Context triple: [Fermi surface, probedBy, de Haas–van Alphen effect]
  • A. Meissner effect
    The Meissner effect is the phenomenon in which a superconductor expels magnetic fields from its interior when cooled below its critical temperature, leading to perfect diamagnetism.
  • B. Zeeman effect
    The Zeeman effect is the splitting of atomic or molecular spectral lines into multiple components when subjected to an external magnetic field, revealing information about energy levels and magnetic moments.
  • C. London equations
    The London equations are fundamental relations in superconductivity that describe how magnetic fields behave inside superconductors, capturing key features like the Meissner effect and zero electrical resistance.
  • D. Eliashberg theory
    Eliashberg theory is an extension of BCS superconductivity that incorporates strong-coupling and frequency-dependent effects to more accurately describe real superconducting materials.
  • E. Stark effect
    The Stark effect is the splitting and shifting of atomic or molecular spectral lines caused by an external electric field.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: de Haas–van Alphen effect
Triple: [Fermi surface, probedBy, de Haas–van Alphen effect]
Generated description
The de Haas–van Alphen effect is a quantum oscillatory phenomenon in metals where the magnetization varies periodically with applied magnetic field, allowing precise mapping of the electronic structure and Fermi surface.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Haas–van Alphen effect
Target entity description: The de Haas–van Alphen effect is a quantum oscillatory phenomenon in metals where the magnetization varies periodically with applied magnetic field, allowing precise mapping of the electronic structure and Fermi surface.
  • A. Meissner effect
    The Meissner effect is the phenomenon in which a superconductor expels magnetic fields from its interior when cooled below its critical temperature, leading to perfect diamagnetism.
  • B. Zeeman effect
    The Zeeman effect is the splitting of atomic or molecular spectral lines into multiple components when subjected to an external magnetic field, revealing information about energy levels and magnetic moments.
  • C. London equations
    The London equations are fundamental relations in superconductivity that describe how magnetic fields behave inside superconductors, capturing key features like the Meissner effect and zero electrical resistance.
  • D. Eliashberg theory
    Eliashberg theory is an extension of BCS superconductivity that incorporates strong-coupling and frequency-dependent effects to more accurately describe real superconducting materials.
  • E. Stark effect
    The Stark effect is the splitting and shifting of atomic or molecular spectral lines caused by an external electric field.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: probedBy
Context triple: [Fermi surface, probedBy, de Haas–van Alphen effect]
  • A. providedFor
    Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
  • B. believedBy
    Indicates that a particular proposition, statement, or entity is held to be true or accepted as real by a specified believer.
  • C. assessedBy
    Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
  • D. demonstratedBy chosen
    Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
  • E. investigatedBy
    Indicates that an entity is the subject of an investigation carried out by another entity.
  • F. None of above.

Provenance (6 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2b07248190979229bad3a741c9 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faffa5848190b77503516f3d0ba6 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb912d9881909d8eb02cdae70163 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fd99e73c8190b5a92856ca0a4b82 completed March 1, 2026, 8:49 a.m.
PD Predicate disambiguation batch_69a2e964d4b481909290e474b0341e3c completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.