Triple
T14486769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongle Encyclopedia |
E359248
|
entity |
| Predicate | numberOfVolumesOriginal |
P2734
|
FINISHED |
| Object | 22,877 juan |
—
|
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: 22,877 juan | Statement: [Yongle Encyclopedia, numberOfVolumesOriginal, 22,877 juan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVolumesOriginal Context triple: [Yongle Encyclopedia, numberOfVolumesOriginal, 22,877 juan]
-
A.
numberOfVolumes
chosen
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
B.
hasThreeVolumeStructureRole
Indicates that an entity participates in or fulfills a role within a three-volume structural organization or framework.
-
C.
hasEstimatedOriginalVolume
Indicates that an entity is associated with an approximate or calculated value for its original volume.
-
D.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
E.
collectionVolume
Indicates the total physical or spatial amount occupied by a collection, such as its size, capacity, or volume.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.