Triple

T10340734
Position Surface form Disambiguated ID Type / Status
Subject Shubnikov–de Haas effect E243120 entity
Predicate discoveredInField P28555 FINISHED
Object magnetoresistance studies 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: magnetoresistance studies | Statement: [Shubnikov–de Haas effect, discoveredInField, magnetoresistance studies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discoveredInField
Context triple: [Shubnikov–de Haas effect, discoveredInField, magnetoresistance studies]
  • A. wasDiscoveredIn
    Indicates that an entity became known or was first identified during a specific time period or at a particular place.
  • B. discoveredWith chosen
    Indicates that one entity was found, detected, or identified using another entity as the means, tool, method, or accompanying context of discovery.
  • C. wasDiscoveredAt
    Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
  • D. discoveredAsPartOf
    Indicates that something was found, identified, or revealed in the course of a larger activity, process, or investigation of which it formed a component.
  • E. discoveredAs
    Indicates that one entity was first identified, found, or recognized in the role or form specified by another 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e91fdb2081909866c6ecf417d75a completed April 7, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69d4df9dc3208190bf1bd106f44f6202 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 11:55 a.m.