Triple
T21967250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongshen bu |
E542489
|
entity |
| Predicate | textCollectionType |
P79650
|
FINISHED |
| Object | anthology of Daoist texts |
—
|
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: anthology of Daoist texts | Statement: [Dongshen bu, textCollectionType, anthology of Daoist texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textCollectionType Context triple: [Dongshen bu, textCollectionType, anthology of Daoist texts]
-
A.
textType
Indicates the classification of a text according to its type, format, or genre.
-
B.
collectionKind
chosen
Indicates the type or category of collection to which an entity or group of entities belongs.
-
C.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
D.
libraryCollectionType
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
-
E.
textColumns
Indicates that one entity defines or contains the columnar text layout or text columns used or referenced by another entity.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.