Triple
T27968284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畲族 |
E704784
|
entity |
| Predicate | 传统服饰特点 |
P66644
|
FINISHED |
| Object | 青蓝色服饰 |
—
|
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: 青蓝色服饰 | Statement: [畲族, 传统服饰特点, 青蓝色服饰]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 传统服饰特点 Context triple: [畲族, 传统服饰特点, 青蓝色服饰]
-
A.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
-
B.
traditionCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given tradition.
-
C.
hasTraditionalAttire
chosen
Indicates that an entity possesses or is associated with clothing that is customary or traditional within a particular culture or community.
-
D.
traditionalDressSimilarTo
Indicates that one traditional dress resembles or shares notable stylistic or cultural features with another traditional dress.
-
E.
traditionalDressColor
Indicates the color associated with an entity’s traditional or customary dress or clothing.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b3337748190ae03ce1742a31d22 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:36 p.m.