Triple
T17326227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 西行 |
E420692
|
entity |
| Predicate | 文化的評価 |
P127012
|
FINISHED |
| Object | 中世日本を代表する歌僧とされる |
—
|
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: 中世日本を代表する歌僧とされる | Statement: [西行, 文化的評価, 中世日本を代表する歌僧とされる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化的評価 Context triple: [西行, 文化的評価, 中世日本を代表する歌僧とされる]
-
A.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
B.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
C.
culturalSphere
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
D.
viewsCultureAs
Indicates how one entity conceptualizes, interprets, or regards the nature, role, or value of culture.
-
E.
hasCulturalExpression
Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
- F. None of above. chosen
Provenance (4 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.