Triple

T31008834
Position Surface form Disambiguated ID Type / Status
Subject Nikon Z fc E790150 entity
Predicate hasImageProcessor P88975 FINISHED
Object EXPEED 6 NE NERFINISHED

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: EXPEED 6 | Statement: [Nikon Z fc, hasImageProcessor, EXPEED 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasImageProcessor
Context triple: [Nikon Z fc, hasImageProcessor, EXPEED 6]
  • A. hasIntegratedImageSignalProcessor
    Indicates that an entity includes a built-in image signal processor as part of its hardware or system design.
  • B. hasImageFeature
    Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
  • C. imageProcessor chosen
    Indicates a relationship where an entity performs operations to analyze, transform, or manipulate images.
  • D. hasImageType
    Indicates that an entity is associated with an image of a particular type or format.
  • E. hasImageRole
    Indicates that an image is associated with an entity in a specific functional or contextual role (e.g., thumbnail, icon, illustration).
  • 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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: April 29, 2026, 8:57 p.m.