Triple

T30358532
Position Surface form Disambiguated ID Type / Status
Subject Sony FE 200-600mm f/5.6-6.3 G OSS E772209 entity
Predicate opticalConstructionElements P169490 FINISHED
Object 24 elements 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: 24 elements | Statement: [Sony FE 200-600mm f/5.6-6.3 G OSS, opticalConstructionElements, 24 elements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opticalConstructionElements
Context triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, opticalConstructionElements, 24 elements]
  • A. lensConstructionElements chosen
    Indicates that a lens is composed of, or incorporates, specific optical elements in its construction.
  • B. opticalDesign
    Indicates a relationship where one entity is responsible for creating, specifying, or defining the optical configuration or characteristics of another entity.
  • C. hasOpticalElement
    Indicates that one entity includes, contains, or is equipped with a specific optical element as a component or part.
  • D. representsOpticalElementAs
    Indicates that one entity is used as a representation or model of another entity specifically in terms of its optical properties or behavior.
  • E. opticalTechnology
    Indicates that one entity employs or involves optical methods, devices, or systems as its primary technology.
  • 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a16debc8190a12f5f65ced055d7 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 7:57 p.m.