Triple
T6269204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States music market |
E140487
|
entity |
| Predicate | majorFormat |
P130
|
FINISHED |
| Object | on-demand audio streaming |
—
|
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: on-demand audio streaming | Statement: [United States music market, majorFormat, on-demand audio streaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorFormat Context triple: [United States music market, majorFormat, on-demand audio streaming]
-
A.
majorForm
Indicates that one entity is the primary or principal form, version, or manifestation of another entity.
-
B.
majorStyle
Indicates the primary artistic, aesthetic, or methodological style that characterizes or dominates something in relation to others.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
majorCase
Indicates that a legal case is of primary importance or high significance within a given context.
-
E.
major
Indicates that one entity is the primary field of academic specialization or main area of study for another entity.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a28da081909f4bec8f7c1dedef |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.