Triple

T2413081
Position Surface form Disambiguated ID Type / Status
Subject Spectacles E52238 entity
Predicate firstGenerationHasFeature P182 FINISHED
Object circular video recording 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: circular video recording | Statement: [Spectacles, firstGenerationHasFeature, circular video recording]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstGenerationHasFeature
Context triple: [Spectacles, firstGenerationHasFeature, circular video recording]
  • A. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • B. firstGeneration
    Indicates that an entity belongs to the first generation within a defined lineage, sequence, or series relative to other related entities.
  • C. firstGenerationStart
    Indicates the point in time or event at which the first generation in a sequence, lineage, or series begins.
  • D. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • E. firstGenerationEnd
    Indicates the point in time or event at which the first generation in a sequence, lineage, or process concludes.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69abc5a6cbd0819086c0716e266b7ebb completed March 7, 2026, 6:28 a.m.
Created at: March 6, 2026, 9:41 p.m.