Triple

T5676604
Position Surface form Disambiguated ID Type / Status
Subject Fresnel zones E125099 entity
Predicate category P87 FINISHED
Object Optics E200663 NE 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: Optics | Statement: [Fresnel zones, category, Optics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Optics
Context triple: [Fresnel zones, category, Optics]
  • A. Optics chosen
    Optics is an influential ancient treatise by Claudius Ptolemy that systematically explores the behavior of light, including reflection, refraction, and visual perception.
  • B. Newtonian optics
    Newtonian optics is the branch of physics developed by Isaac Newton that explains light primarily as a stream of particles to account for reflection, refraction, and color phenomena.
  • C. Fourier optics
    Fourier optics is a branch of optics that uses Fourier transform methods to analyze and design optical systems, particularly the propagation and diffraction of light waves.
  • D. Applied Optics
    Applied Optics is a peer-reviewed scientific journal focusing on research in optics, photonics, and related applied technologies.
  • E. Optics Letters
    Optics Letters is a leading peer-reviewed scientific journal focusing on rapid publication of short, high-impact research papers in all areas of optics and photonics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023728f488190a3622844d78caa13 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3211b08190868811db3d5268b1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:43 p.m.