Triple

T14906086
Position Surface form Disambiguated ID Type / Status
Subject Nokia N93 E360133 entity
Predicate videoRecordingCapability P15615 FINISHED
Object MPEG-4 E724353 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-4 | Statement: [Nokia N93, videoRecordingCapability, MPEG-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPEG-4
Context triple: [Nokia N93, videoRecordingCapability, MPEG-4]
  • A. MPEG-4 chosen
    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.
  • B. 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.
  • C. 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.
  • D. MPEG-4 container format
    The MPEG-4 container format is a digital multimedia container standard used to store video, audio, subtitles, and other data in a single file, widely adopted for internet streaming and media distribution.
  • E. H.264
    H.264 is a widely used video compression standard known for delivering high-quality video at relatively low bitrates, commonly employed in streaming, broadcasting, and video recording.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b7640c8190b463f69fb67fd30a completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:12 a.m.