Triple

T15030915
Position Surface form Disambiguated ID Type / Status
Subject stress–energy tensor E378339 entity
Predicate frameDependence P28834 FINISHED
Object components depend on observer 4-velocity 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: components depend on observer 4-velocity | Statement: [stress–energy tensor, frameDependence, components depend on observer 4-velocity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frameDependence
Context triple: [stress–energy tensor, frameDependence, components depend on observer 4-velocity]
  • A. frameDependent chosen
    Indicates that the truth or interpretation of the relationship depends on the particular reference frame, context, or perspective from which it is evaluated.
  • B. frame
    Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
  • C. positionDependsOn
    Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
  • D. frameLocation
    Indicates that one entity serves as the spatial or contextual frame of reference within which another entity is located or interpreted.
  • E. framedBy
    Indicates that one entity serves as a surrounding boundary or enclosing structure that visually or conceptually frames another entity.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 2:59 a.m.