Triple
T26551341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 梅花祭 |
E671684
|
entity |
| Predicate | 関連する地域文化 |
P1439
|
FINISHED |
| Object | 日本の梅文化 |
—
|
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: 日本の梅文化 | Statement: [梅花祭, 関連する地域文化, 日本の梅文化]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連する地域文化 Context triple: [梅花祭, 関連する地域文化, 日本の梅文化]
-
A.
culturalRegion
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
B.
isCulturalArea
Indicates that a given area is recognized or designated as a cultural region, characterized by shared cultural traits, practices, or heritage.
-
C.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
D.
regionOfCulturalImpact
Indicates the geographic area where an entity’s cultural influence, activities, or effects are most significantly felt or observed.
-
E.
hasAssociatedCulture
chosen
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f614624c80819084f6febf57f86828 |
completed | May 2, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:47 a.m.