Triple
T5081855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIAA Diamond certification |
E114529
|
entity |
| Predicate | hasThresholdType |
P14326
|
FINISHED |
| Object | lifetime sales threshold |
—
|
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: lifetime sales threshold | Statement: [RIAA Diamond certification, hasThresholdType, lifetime sales threshold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThresholdType Context triple: [RIAA Diamond certification, hasThresholdType, lifetime sales threshold]
-
A.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
B.
hasMetricType
Indicates that something is associated with or characterized by a specific type or category of metric.
-
C.
hasCriterionType
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
D.
hasTriggerType
Indicates that an event, condition, or mechanism is associated with a specific type or category of trigger that initiates it.
-
E.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
- 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_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. |
Created at: March 20, 2026, 1:39 p.m.