Triple

T1783793
Position Surface form Disambiguated ID Type / Status
Subject Cartesian coordinate system E39344 entity
Predicate axisOrientation P1101 FINISHED
Object axes are mutually perpendicular 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: axes are mutually perpendicular | Statement: [Cartesian coordinate system, axisOrientation, axes are mutually perpendicular]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: axisOrientation
Context triple: [Cartesian coordinate system, axisOrientation, axes are mutually perpendicular]
  • A. orientationProperty
    Indicates that one entity has a specific spatial or directional orientation in relation to another entity or reference frame.
  • B. shaftOrientation
    Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
  • C. legOrientation
    Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
  • D. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • E. orientation chosen
    Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab75457e54819096b8c6ae8c65550c completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61d165688190924962a98e07ff69 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.