Triple
T4098819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Crown Style (National Diet Building) |
E87887
|
entity |
| Predicate | styleCombines |
P50934
|
FINISHED |
| Object | Japanese traditional forms |
—
|
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: Japanese traditional forms | Statement: [Imperial Crown Style (National Diet Building), styleCombines, Japanese traditional forms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleCombines Context triple: [Imperial Crown Style (National Diet Building), styleCombines, Japanese traditional forms]
-
A.
styleCombination
chosen
Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
-
B.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
C.
styleInFull
Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
-
D.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
E.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.