Triple
T18120176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keep Calm and Carry On poster campaign |
E433709
|
entity |
| Predicate | printingQuantity |
P12799
|
FINISHED |
| Object | about 2.5 million copies |
—
|
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: about 2.5 million copies | Statement: [Keep Calm and Carry On poster campaign, printingQuantity, about 2.5 million copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: printingQuantity Context triple: [Keep Calm and Carry On poster campaign, printingQuantity, about 2.5 million copies]
-
A.
estimatedCopiesPrinted
chosen
Indicates the approximate number of copies of an item that have been printed.
-
B.
orderQuantity
Indicates the specific amount or number of items requested or scheduled in an order transaction.
-
C.
mainQuantity
Indicates that the associated value represents the primary or principal quantity in a given context or relationship.
-
D.
printingCenter
Indicates a relationship where one entity serves as the printing center (i.e., the facility or service that performs printing) for another entity.
-
E.
printedBy
Indicates that one entity is produced or output in physical or digital form by another entity acting as the printer or printing agent.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd9b21c81908d23b8d9840410df |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.