Triple

T7416827
Position Surface form Disambiguated ID Type / Status
Subject SiriusXM E171149 entity
Predicate hasService P182 FINISHED
Object SiriusXM app E171149 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: SiriusXM app | Statement: [SiriusXM, hasService, SiriusXM app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SiriusXM app
Context triple: [SiriusXM, hasService, SiriusXM app]
  • A. SiriusXM chosen
    SiriusXM is a satellite and online radio broadcasting company in North America that offers a wide range of music, sports, news, and talk channels by subscription.
  • B. TuneIn
    TuneIn is a streaming service that provides live radio, music, news, sports, and podcasts from stations and creators around the world across multiple devices and platforms.
  • C. Rdio
    Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
  • D. AP Radio
    AP Radio is the radio news network of the Associated Press, providing audio news reports and bulletins to broadcast stations.
  • E. Nokia MixRadio
    Nokia MixRadio was a music streaming and discovery service developed by Nokia, offering personalized, offline-capable mixes primarily for Nokia smartphones.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee704a8819088f72135272404cb completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.