Triple
T38139890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFPI Global Single of the Year 2022 |
E952448
|
entity |
| Predicate | dataSourceForRanking |
P46377
|
FINISHED |
| Object | global recorded-music market data |
—
|
LITERAL 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: global recorded-music market data | Statement: [IFPI Global Single of the Year 2022, dataSourceForRanking, global recorded-music market data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataSourceForRanking Context triple: [IFPI Global Single of the Year 2022, dataSourceForRanking, global recorded-music market data]
-
A.
usesRankingDataFrom
Indicates that one entity bases its rankings or ordered evaluations on ranking data produced or maintained by another entity.
-
B.
dataSourceFor
chosen
Indicates that one entity serves as the origin or provider of data that is used or consumed by another entity.
-
C.
dataSourceForApportionment
Indicates that one entity serves as the source of data used to determine or calculate the apportionment of another entity.
-
D.
hasRankingFactor
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
-
E.
selectionRankingEndPoint
Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
- F. None of above.
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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.