Triple

T17858509
Position Surface form Disambiguated ID Type / Status
Subject Cotton–Mouton effect E446002 entity
Predicate opticalConsequence P32006 FINISHED
Object difference in refractive indices for orthogonal polarizations 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: difference in refractive indices for orthogonal polarizations | Statement: [Cotton–Mouton effect, opticalConsequence, difference in refractive indices for orthogonal polarizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opticalConsequence
Context triple: [Cotton–Mouton effect, opticalConsequence, difference in refractive indices for orthogonal polarizations]
  • A. opticalProperty chosen
    Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
  • B. opticalDesign
    Indicates a relationship where one entity is responsible for creating, specifying, or defining the optical configuration or characteristics of another entity.
  • C. usesOpticsType
    Indicates that one entity employs or is characterized by a specific type of optical system or technology.
  • D. hasOpticalIllusionType
    Indicates that an entity exhibits or is associated with a specific type or category of optical illusion.
  • E. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • 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.