Triple

T15949786
Position Surface form Disambiguated ID Type / Status
Subject HDTV E386783 entity
Predicate usesCompressionStandard P27672 FINISHED
Object MPEG-2 E618936 NE FINISHED

How this triple was built (3 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: MPEG-2 | Statement: [HDTV, usesCompressionStandard, MPEG-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-2
Context triple: [HDTV, usesCompressionStandard, MPEG-2]
  • A. MPEG-2 chosen
    MPEG-2 is a widely used digital video and audio compression standard commonly employed for DVDs, digital television broadcasting, and some online video formats.
  • B. MPEG
    MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
  • C. MPEG-4
    MPEG-4 is a multimedia compression and coding standard widely used for digital audio, video, and interactive media distribution over the internet and other networks.
  • D. MPEG-PS
    MPEG-PS (MPEG Program Stream) is a container format primarily used for storing and playing back audio, video, and other data on media like DVDs, optimized for reliable local playback rather than broadcast transmission.
  • E. MPEG-4 Part 2
    MPEG-4 Part 2 is a video compression standard used for encoding digital video, notably in early MPEG-4 and DivX/Xvid formats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCompressionStandard
Context triple: [HDTV, usesCompressionStandard, MPEG-2]
  • A. hasCompressor
    Indicates that one entity is equipped with, contains, or uses a compressor associated with it.
  • B. compressionType chosen
    Indicates the method or format used to compress data or content in the relationship.
  • C. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • D. supportsCompressedFiles
    Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
  • E. defaultCompressionLevel
    Indicates the standard or preconfigured degree of compression applied when no specific compression level is explicitly set.
  • F. None of above.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69e142d37cd88190ab50760f1783e20c completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:53 a.m.