Triple

T3151091
Position Surface form Disambiguated ID Type / Status
Subject SoFi Stadium E65877 entity
Predicate adjacentFacility P5648 FINISHED
Object YouTube Theater E279594 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 Theater | Statement: [SoFi Stadium, adjacentFacility, YouTube Theater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube Theater
Context triple: [SoFi Stadium, adjacentFacility, YouTube Theater]
  • A. YouTube Theater chosen
    YouTube Theater is a modern, mid-sized indoor entertainment venue and performance space located in Inglewood, California, often used for concerts, award shows, and live events.
  • B. YouTube TV
    YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
  • C. YouTube
    YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
  • D. Pluto TV
    Pluto TV is a free, ad-supported internet television streaming service offering live channels and on-demand content across a wide range of genres.
  • E. 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.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c145248190843ff3b1701074a1 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224fd22ac81909867d0cc150986a5 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.