Triple

T17677124
Position Surface form Disambiguated ID Type / Status
Subject Cloudflare Stream E440668 entity
Predicate supports P516 FINISHED
Object HTTP Live Streaming (HLS) NE NERFINISHED

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: HTTP Live Streaming (HLS) | Statement: [Cloudflare Stream, supports, HTTP Live Streaming (HLS)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTTP Live Streaming (HLS)
Context triple: [Cloudflare Stream, supports, HTTP Live Streaming (HLS)]
  • A. MPEG-DASH
    MPEG-DASH is an international standard for adaptive bitrate streaming of multimedia content over HTTP, enabling high-quality video delivery across varying network conditions and devices.
  • B. HLS
    HLS is the standardized high-level framework that harmonizes the structure and core requirements of ISO management system standards across different disciplines.
  • C. HLS chosen
    HLS (HTTP Live Streaming) is Apple’s adaptive bitrate streaming protocol widely used for delivering live and on-demand audio and video over the internet.
  • D. HLS
    HLS is the station code for Hillsdale station, a commuter rail stop serving the Hillsdale area.
  • E. MPEG-H
    MPEG-H is a family of ISO/IEC standards developed by MPEG for advanced audio and multimedia coding, including immersive and 3D audio applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6d9ab88190ab0e25eac8b0101c completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.