Triple

T30532244
Position Surface form Disambiguated ID Type / Status
Subject Canon EOS R6 E777036 entity
Predicate subjectTracking P18529 FINISHED
Object eye detection AF 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: eye detection AF | Statement: [Canon EOS R6, subjectTracking, eye detection AF]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectTracking
Context triple: [Canon EOS R6, subjectTracking, eye detection AF]
  • A. trackedOn
    Indicates that the subject’s status, activity, or changes are being monitored or recorded on the specified system, platform, or medium.
  • B. isTrackedBy
    Indicates that an entity’s state, behavior, or changes are being monitored, recorded, or followed by another entity.
  • C. mayTrack
    Indicates that one entity is permitted or allowed to monitor, follow, or record information about another entity or its activities.
  • D. trackingType chosen
    Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
  • E. isTracked
    Indicates that an entity’s state, behavior, or presence is being monitored or recorded over time.
  • 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_69f2249c11508190ae7e955755ccfb01 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7886be6d8819095ec62e4f2cee858 completed May 3, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69f7841440f48190b4346c08855951d2 completed May 3, 2026, 5:21 p.m.
Created at: April 29, 2026, 8:18 p.m.