Triple

T30786761
Position Surface form Disambiguated ID Type / Status
Subject Packetization of uncompressed video over RTP E783974 entity
Predicate fragmentationUnit P11709 FINISHED
Object video scan lines 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: video scan lines | Statement: [Packetization of uncompressed video over RTP, fragmentationUnit, video scan lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fragmentationUnit
Context triple: [Packetization of uncompressed video over RTP, fragmentationUnit, video scan lines]
  • A. fragmentationLevel
    Indicates the degree to which something is broken into smaller, separate parts or segments.
  • B. nowFragmentedInto
    Indicates that an entity that was once whole has been broken or divided into multiple separate parts or fragments.
  • C. fractionalUnitCode
    Indicates the code that specifies the fractional unit or sub-division of a primary unit used in a measurement or quantity.
  • D. managementUnitOf
    Indicates that one entity serves as the administrative or managerial unit responsible for overseeing or controlling another entity.
  • E. componentUnit chosen
    Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690097c9c81909858e7d8c15474da completed May 3, 2026, midnight
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:41 p.m.