Triple
T5081844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIAA Diamond certification |
E114529
|
entity |
| Predicate | scalePosition |
P61184
|
FINISHED |
| Object | top tier of RIAA certifications |
—
|
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: top tier of RIAA certifications | Statement: [RIAA Diamond certification, scalePosition, top tier of RIAA certifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scalePosition Context triple: [RIAA Diamond certification, scalePosition, top tier of RIAA certifications]
-
A.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
B.
gridPosition
Indicates the specific location or coordinates an entity occupies within a structured grid or matrix.
-
C.
positionInTimeScale
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
-
D.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
E.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
- F. None of above. chosen
Provenance (4 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74fb3df4819082bd8ae64e207ceb |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.