Triple

T17858508
Position Surface form Disambiguated ID Type / Status
Subject Cotton–Mouton effect E446002 entity
Predicate magneticFieldOrientation P22289 FINISHED
Object transverse to direction of light propagation 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: transverse to direction of light propagation | Statement: [Cotton–Mouton effect, magneticFieldOrientation, transverse to direction of light propagation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: magneticFieldOrientation
Context triple: [Cotton–Mouton effect, magneticFieldOrientation, transverse to direction of light propagation]
  • A. magneticField
    Indicates the presence, strength, or configuration of a magnetic field associated with an entity or region.
  • B. magneticFieldStrength
    Indicates the intensity or magnitude of a magnetic field associated with an entity or at a specific location.
  • C. hasFieldOrientation
    Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
  • D. magneticFieldCharacteristic chosen
    Indicates a relationship where a magnetic field is associated with or exhibits a specific characteristic or property.
  • E. orientationRelativeToI90
    Indicates the directional alignment or positioning of something in relation to Interstate 90 (I-90), such as being parallel, perpendicular, or at a specific angle to it.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978e68ec8190a4306f7b7bb058d7 completed April 19, 2026, 8:51 a.m.
PD Predicate disambiguation batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:17 a.m.