Triple

T248978
Position Surface form Disambiguated ID Type / Status
Subject Rayleigh–Schrödinger perturbation theory E5100 entity
Predicate treats P8786 FINISHED
Object interaction as small perturbation 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: interaction as small perturbation | Statement: [Rayleigh–Schrödinger perturbation theory, treats, interaction as small perturbation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treats
Context triple: [Rayleigh–Schrödinger perturbation theory, treats, interaction as small perturbation]
  • A. treatment
    Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
  • B. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • C. remedySought
    Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
  • D. conducts
    Indicates that an entity organizes, directs, or carries out an activity, operation, or process involving another entity.
  • E. tolerates
    Indicates that one entity endures, accepts, or allows the presence, behavior, or condition of another entity without intervening to stop or change it.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d35aa288190966b6e15af1525cb completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25c2ca46c81908c61696f31e59a98 completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.