Triple

T2413229
Position Surface form Disambiguated ID Type / Status
Subject Snap Camera E52241 entity
Predicate supportsContent P13367 FINISHED
Object community-created lenses 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: community-created lenses | Statement: [Snap Camera, supportsContent, community-created lenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsContent
Context triple: [Snap Camera, supportsContent, community-created lenses]
  • A. supportsCommunityContent chosen
    Indicates that an entity enables, hosts, or facilitates content created and shared by its user or community base.
  • B. supportsDocument
    Indicates that one entity provides compatibility or functionality for handling, processing, or using a particular document or document type.
  • C. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
  • D. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • E. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • 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.