Triple

T806546
Position Surface form Disambiguated ID Type / Status
Subject Cassegrain focus E17448 entity
Predicate opticalEffect P16366 FINISHED
Object increases effective focal ratio compared to primary mirror alone 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: increases effective focal ratio compared to primary mirror alone | Statement: [Cassegrain focus, opticalEffect, increases effective focal ratio compared to primary mirror alone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opticalEffect
Context triple: [Cassegrain focus, opticalEffect, increases effective focal ratio compared to primary mirror alone]
  • A. visualEffect chosen
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • B. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • C. opticalDesign
    Indicates a relationship where one entity is responsible for creating, specifying, or defining the optical configuration or characteristics of another entity.
  • D. usesOpticsType
    Indicates that one entity employs or is characterized by a specific type of optical system or technology.
  • E. lightPath
    Indicates the route or trajectory that light follows as it travels between entities or through a medium.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ac07fedc8190ab05595f25c1792f completed March 1, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69a4aa7221c081908068e66fe720f26d completed March 1, 2026, 9:06 p.m.
Created at: March 1, 2026, 7:38 p.m.