Triple
T324189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quotations from Chairman Mao Tse-tung |
E6476
|
entity |
| Predicate | estimatedCopiesPrinted |
P12799
|
FINISHED |
| Object | over one billion |
—
|
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 one billion | Statement: [Quotations from Chairman Mao Tse-tung, estimatedCopiesPrinted, over one billion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedCopiesPrinted Context triple: [Quotations from Chairman Mao Tse-tung, estimatedCopiesPrinted, over one billion]
-
A.
printedBy
Indicates that one entity is produced or output in physical or digital form by another entity acting as the printer or printing agent.
-
B.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
C.
hasPrintVersion
Indicates that one entity exists or is available as a printed or physical edition of another entity.
-
D.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
E.
firstEditionPrintRun
Indicates the initial quantity of copies produced when a work is printed in its first published edition.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eb18bda48190ac3d96a61a6a684d |
completed | Feb. 28, 2026, 1:18 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.