Triple

T7151279
Position Surface form Disambiguated ID Type / Status
Subject Hamiltonian (time translation generator) E166696 entity
Predicate eigenvaluesRepresent P54139 FINISHED
Object possible energy values 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: possible energy values | Statement: [Hamiltonian (time translation generator), eigenvaluesRepresent, possible energy values]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eigenvaluesRepresent
Context triple: [Hamiltonian (time translation generator), eigenvaluesRepresent, possible energy values]
  • A. representationWithRespectTo
    Indicates a relationship in which one entity serves as a representation, depiction, or stand-in for another entity under a particular perspective, context, or interpretive framework.
  • B. reducedRepresentationOf
    Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
  • C. componentRepresents
    Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
  • D. areRepresentedBy chosen
    Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
  • E. representation
    Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1caf4e48190b47bb398a3c1554d completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:46 p.m.