Triple
T25063013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 上皇后美智子 |
E627708
|
entity |
| Predicate | 象徴的役割 |
P129
|
FINISHED |
| Object | 平成時代の象徴的存在 |
—
|
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: 平成時代の象徴的存在 | Statement: [上皇后美智子, 象徴的役割, 平成時代の象徴的存在]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 象徴的役割 Context triple: [上皇后美智子, 象徴的役割, 平成時代の象徴的存在]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
国の象徴との関係
Indicates a relationship or association that an entity has with a national symbol (such as a flag, emblem, or anthem).
-
C.
symbolismIn
Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
-
D.
symbolismFocus
Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
-
E.
iconographicFunction
Indicates the symbolic or representational role that something serves within an image or visual composition.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599b7ff081909862edeae57c2c2d |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:10 a.m.