Triple

T4703354
Position Surface form Disambiguated ID Type / Status
Subject Maksutov–Cassegrain telescope design E104328 entity
Predicate aberrationCorrection P58635 FINISHED
Object good correction of spherical aberration 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: good correction of spherical aberration | Statement: [Maksutov–Cassegrain telescope design, aberrationCorrection, good correction of spherical aberration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aberrationCorrection
Context triple: [Maksutov–Cassegrain telescope design, aberrationCorrection, good correction of spherical aberration]
  • A. aberrationClass
    Indicates a classification relationship where an entity is assigned to a specific type or category of aberration.
  • B. hasAberrationCharacteristics
    Indicates that an entity exhibits traits or properties that deviate from what is considered normal, standard, or expected.
  • C. requiresCorrection
    Indicates that something is identified as needing modification, adjustment, or fixing to correct an error or deficiency.
  • D. usesForwardErrorCorrection
    Indicates that one entity applies forward error correction techniques to detect and correct errors in data transmitted to or received from another entity.
  • E. usesDeformableMirrors
    Indicates that an entity employs deformable mirrors as part of its operation or system to modify or control wavefronts or optical properties.
  • F. None of above. chosen

Provenance (4 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:17 p.m.