Triple
T1278245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Belong Together |
E27263
|
entity |
| Predicate | salesUS |
P28326
|
FINISHED |
| Object | over 4,000,000 digital downloads |
—
|
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: over 4,000,000 digital downloads | Statement: [We Belong Together, salesUS, over 4,000,000 digital downloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesUS Context triple: [We Belong Together, salesUS, over 4,000,000 digital downloads]
-
A.
salesWorldwide
Indicates a relationship where an entity’s sales figures or activities are measured, reported, or occur across multiple countries or global markets.
-
B.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
C.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
-
D.
marketShareUS
Indicates the proportion of a product, company, or brand’s total sales or volume within the United States market relative to the overall U.S. market size.
-
E.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c31400c08190a07ccb736df3bf54 |
completed | March 1, 2026, 10:52 p.m. |
Created at: March 1, 2026, 7:50 p.m.