Triple

T9937957
Position Surface form Disambiguated ID Type / Status
Subject Møller scattering E194002 entity
Predicate hasInterference P91253 FINISHED
Object between t-channel and u-channel amplitudes 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: between t-channel and u-channel amplitudes | Statement: [Møller scattering, hasInterference, between t-channel and u-channel amplitudes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterference
Context triple: [Møller scattering, hasInterference, between t-channel and u-channel amplitudes]
  • A. hasInterferometer
    Indicates that an entity is equipped with or includes an interferometer as part of its components or instrumentation.
  • B. hasInteraction
    Indicates that there is some form of interaction or mutual action occurring between the related entities.
  • C. hasNotableIntersection
    Indicates that two entities intersect or cross at a point that is considered significant or noteworthy in some context.
  • D. hasIntercalation
    Indicates that an entity includes or undergoes the insertion of additional elements (such as units, segments, or periods) into an existing ordered sequence or structure.
  • E. areAffectedBy
    Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:44 p.m.