Triple
T9889379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanfu |
E181415
|
entity |
| Predicate | typicalGarmentType |
P15063
|
FINISHED |
| Object | ruqun |
—
|
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: ruqun | Statement: [Hanfu, typicalGarmentType, ruqun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGarmentType Context triple: [Hanfu, typicalGarmentType, ruqun]
-
A.
garmentType
chosen
Indicates the specific kind or category of garment associated with an entity.
-
B.
typicalFit
Indicates that one entity is a usual, expected, or characteristic match or correspondence for another in a given context.
-
C.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
D.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
E.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47be2988190811a99dc56ae542a |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.