Triple
T13672291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuchu |
E327779
|
entity |
| Predicate | primaryPlatform |
P11917
|
FINISHED |
| Object | Boomplay |
E972949
|
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: Boomplay | Statement: [Zuchu, primaryPlatform, Boomplay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomplay Context triple: [Zuchu, primaryPlatform, Boomplay]
-
A.
Boomplay
chosen
Boomplay is a leading African music streaming and download service offering a vast catalog of songs, videos, and curated playlists primarily focused on African artists and audiences.
-
B.
Spotify
Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
-
C.
Deezer
Deezer is a global music streaming service offering on-demand access to a large catalog of songs, playlists, and podcasts across multiple platforms.
-
D.
TIDAL
TIDAL is a subscription-based music, podcast, and video streaming service known for its high-fidelity audio quality and artist-centric platform.
-
E.
Amazon Music
Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.