Triple

T3420029
Position Surface form Disambiguated ID Type / Status
Subject standard YouTube license E72093 entity
Predicate associatedWithPlatform P38443 FINISHED
Object YouTube E2481 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: YouTube | Statement: [standard YouTube license, associatedWithPlatform, YouTube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube
Context triple: [standard YouTube license, associatedWithPlatform, YouTube]
  • A. YouTube chosen
    YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
  • B. Google Videos
    Google Videos was a video search and hosting service by Google that allowed users to upload, search, and view online video content before being largely superseded by YouTube.
  • C. Vdio
    Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
  • D. .yt
    .yt is the country code top-level domain (ccTLD) assigned to Mayotte, an overseas department and region of France.
  • E. YouTube Shorts
    YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94eb9e8819087a525df4550914b completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c285688190a264fcb4ab271b82 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.