Triple

T9937945
Position Surface form Disambiguated ID Type / Status
Subject Møller scattering E194002 entity
Predicate hasAngularDistribution P9754 FINISHED
Object forward-peaked at high energies 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: forward-peaked at high energies | Statement: [Møller scattering, hasAngularDistribution, forward-peaked at high energies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAngularDistribution
Context triple: [Møller scattering, hasAngularDistribution, forward-peaked at high energies]
  • A. hasDistributionFunction chosen
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • B. supportsAngleModes
    Indicates that one entity provides functionality for handling or operating in multiple angle measurement modes (such as degrees, radians, or gradians) for another entity or context.
  • C. hasRelativeAngularMomentum
    Indicates that one entity possesses angular momentum defined relative to another reference entity or frame.
  • D. hasDistributions
    Indicates that an entity is associated with one or more distributions through which it is delivered, provided, or made available.
  • E. isNonUniform
    Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e64760819094f599f158d32f33 completed April 2, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:44 p.m.