Triple

T5752444
Position Surface form Disambiguated ID Type / Status
Subject r/funny E126883 entity
Predicate mediaTypesSupported P24486 FINISHED
Object images 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: images | Statement: [r/funny, mediaTypesSupported, images]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaTypesSupported
Context triple: [r/funny, mediaTypesSupported, images]
  • A. mediaType
    Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
  • B. offersContentType
    Indicates that one entity provides or makes available content of a specified type to another entity or context.
  • C. transmissionTypeSupported
    Indicates that a particular type of transmission is compatible with or can be used by a given system, device, or component.
  • D. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • E. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b52663c8190ab44258468d4296d completed March 22, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69c021ca61688190875bd6107161c284 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:48 p.m.