Triple
T16731461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siku Quanshu |
E406601
|
entity |
| Predicate | numberOfWorksIncluded |
P6221
|
FINISHED |
| Object | over 3400 works |
—
|
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 3400 works | Statement: [Siku Quanshu, numberOfWorksIncluded, over 3400 works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorksIncluded Context triple: [Siku Quanshu, numberOfWorksIncluded, over 3400 works]
-
A.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
B.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
C.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
-
D.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
E.
workCatalogueNumberOfWork
Indicates the catalogue number assigned to a specific work within a cataloging or classification system.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.