Triple

T13912978
Position Surface form Disambiguated ID Type / Status
Subject Landau–Pomeranchuk–Migdal effect E334544 entity
Predicate scaleDependsOn P31183 FINISHED
Object material radiation length 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: material radiation length | Statement: [Landau–Pomeranchuk–Migdal effect, scaleDependsOn, material radiation length]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scaleDependsOn
Context triple: [Landau–Pomeranchuk–Migdal effect, scaleDependsOn, material radiation length]
  • A. scaleProperty
    Indicates that one entity defines or modifies the scale, magnitude, or proportional sizing used to interpret or represent a property of another entity.
  • B. scalingProperty
    Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
  • C. positionDependsOn
    Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
  • D. metricDependsOn chosen
    Indicates that the value or definition of one metric is determined by, derived from, or otherwise reliant on another metric.
  • E. scalesWith
    Indicates that a change in one quantity is systematically associated with a proportional or otherwise dependent change in another quantity.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27245c648190b2946845ce0fdbf8 completed April 14, 2026, 11:38 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:16 p.m.