Triple

T3659432
Position Surface form Disambiguated ID Type / Status
Subject BBC Sounds E77611 entity
Predicate hasMobileApp P1395 FINISHED
Object BBC Sounds Android app E77611 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: BBC Sounds Android app | Statement: [BBC Sounds, hasMobileApp, BBC Sounds Android app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Sounds Android app
Context triple: [BBC Sounds, hasMobileApp, BBC Sounds Android app]
  • A. BBC Sounds chosen
    BBC Sounds is the BBC’s digital audio platform offering live radio, music mixes, and podcasts across web and mobile apps.
  • B. Google Play Music (legacy)
    Google Play Music (legacy) was Google’s former music streaming and cloud locker service that allowed users to upload, purchase, and stream music across devices before being replaced by YouTube Music.
  • C. Nokia MixRadio
    Nokia MixRadio was a music streaming and discovery service developed by Nokia, offering personalized, offline-capable mixes primarily for Nokia smartphones.
  • D. 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.
  • E. Pocket Casts
    Pocket Casts is a popular cross-platform podcast app known for its powerful discovery tools, playback controls, and syncing across devices.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39796648190a83a7f1a63c653bd completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.