Triple

T1531118
Position Surface form Disambiguated ID Type / Status
Subject Stark effect E32444 entity
Predicate theoreticalDescription P16583 FINISHED
Object time-independent perturbation theory 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: time-independent perturbation theory | Statement: [Stark effect, theoreticalDescription, time-independent perturbation theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theoreticalDescription
Context triple: [Stark effect, theoreticalDescription, time-independent perturbation theory]
  • A. describedIn
    Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
  • B. theorized
    Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
  • C. theoreticalTradition chosen
    Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
  • D. hasTheoreticalStatus
    Indicates that something possesses a particular theoretical standing, classification, or role within a conceptual or theoretical framework.
  • E. describes
    Indicates that one entity provides an explanation, representation, or account of another entity or concept.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a933ddc5a881909cdf503f2bc29bd4 completed March 5, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69a907ae8f688190ad9000ea1e018585 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.