Triple
T22440599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 皇霊殿 |
E554744
|
entity |
| Predicate | 文化的地位 |
P1579
|
FINISHED |
| Object | 日本の皇室文化の象徴 |
—
|
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: 日本の皇室文化の象徴 | Statement: [皇霊殿, 文化的地位, 日本の皇室文化の象徴]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化的地位 Context triple: [皇霊殿, 文化的地位, 日本の皇室文化の象徴]
-
A.
文化的評価
Indicates an assessment or judgment of something based on cultural values, norms, or standards.
-
B.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
-
C.
hasCulturalSignificance
chosen
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
D.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
E.
culturalCapital
Indicates the extent to which one entity possesses or transmits non-economic social assets (such as knowledge, skills, tastes, or credentials) that confer status or advantage within a particular cultural context relative to another entity.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.