Triple

T712566
Position Surface form Disambiguated ID Type / Status
Subject YouTube Shorts E14241 entity
Predicate accessMethod P5872 FINISHED
Object YouTube mobile app 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 mobile app | Statement: [YouTube Shorts, accessMethod, YouTube mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube mobile app
Context triple: [YouTube Shorts, accessMethod, YouTube mobile app]
  • 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. Sky Go
    Sky Go is a streaming and on-demand television service that allows Sky customers in the UK and Ireland to watch live and catch-up content on various internet-connected devices.
  • C. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • D. Google TV
    Google TV was a smart TV platform developed by Google that integrated the Android operating system and the Chrome browser to bring web content, apps, and traditional television together on connected TVs and set-top boxes.
  • E. Google Duo
    Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55dd5908190bfb8816f65ea02e1 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb3452c8190a150b4a182807813 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.