Triple
T14486771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongle Encyclopedia |
E359248
|
entity |
| Predicate | numberOfBoundVolumes |
P2734
|
FINISHED |
| Object | 11,095 |
—
|
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: 11,095 | Statement: [Yongle Encyclopedia, numberOfBoundVolumes, 11,095]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBoundVolumes Context triple: [Yongle Encyclopedia, numberOfBoundVolumes, 11,095]
-
A.
numberOfVolumes
chosen
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
B.
isBoundVolumeSeries
Indicates that one entity is a series composed of multiple bound volumes that are physically or conceptually grouped together.
-
C.
hasExposedVolume
Indicates that a volume or space is open or exposed to its surroundings rather than fully enclosed or covered.
-
D.
numberOfPods
Indicates the quantity or count of pods associated with a given entity or context.
-
E.
hasThreeVolumeStructureRole
Indicates that an entity participates in or fulfills a role within a three-volume structural organization or framework.
- 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.