Triple

T65244
Position Surface form Disambiguated ID Type / Status
Subject Born–Oppenheimer approximation E1297 entity
Predicate importantFor P1887 FINISHED
Object interpretation of molecular spectra 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: interpretation of molecular spectra | Statement: [Born–Oppenheimer approximation, importantFor, interpretation of molecular spectra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importantFor
Context triple: [Born–Oppenheimer approximation, importantFor, interpretation of molecular spectra]
  • A. isImportantFor chosen
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • B. significance
    Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
  • C. hasImportantPractice
    Indicates that an entity engages in or possesses a practice, activity, or procedure considered significant or essential within a given context.
  • D. purpose
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • E. includes
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a2516eda54819090f5c14384d4eab1 completed Feb. 28, 2026, 2:22 a.m.
PD Predicate disambiguation batch_69a24ea5c140819080409a968c8d2ce8 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.