Triple

T9000459
Position Surface form Disambiguated ID Type / Status
Subject Sony Alpha A-mount DSLR-style cameras E215026 entity
Predicate autofocusSystem P85619 FINISHED
Object phase-detection autofocus 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: phase-detection autofocus | Statement: [Sony Alpha A-mount DSLR-style cameras, autofocusSystem, phase-detection autofocus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: autofocusSystem
Context triple: [Sony Alpha A-mount DSLR-style cameras, autofocusSystem, phase-detection autofocus]
  • A. canonicalFocus
    Indicates that one entity is the primary or most representative focus or point of attention in relation to another entity.
  • B. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. focusMechanism
    Indicates the method or process by which attention or emphasis is directed toward a particular entity or aspect within a context.
  • D. haveFocusSystem
    Indicates that an entity is currently the primary target or active focus within a system or context.
  • E. hasFocusSystem
    Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6954bb1881908d004a26ba7fe360 completed April 1, 2026, 12:39 a.m.
PD Predicate disambiguation batch_69cc5edd6cb48190b4fc6d6ca0418056 completed March 31, 2026, 11:55 p.m.
PDg Predicate description generation batch_69cc5f6dec4081909379bd57c02a5710 completed March 31, 2026, 11:57 p.m.
Created at: March 30, 2026, 7:05 p.m.