Triple

T9740558
Position Surface form Disambiguated ID Type / Status
Subject Advanced Audio Coding E236174 entity
Predicate partOfStandard P35 FINISHED
Object MPEG-2 E618936 NE 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: MPEG-2 | Statement: [Advanced Audio Coding, partOfStandard, MPEG-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-2
Context triple: [Advanced Audio Coding, partOfStandard, 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-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.
  • E. MPEG-TS
    MPEG-TS (MPEG Transport Stream) is a standard digital container format designed for transmitting and storing audio, video, and data, commonly used in broadcast systems like DVB and ATSC.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccf62e08190ae799ee557ad1f1b completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.