Triple
T36972134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 旭日章 |
E914597
|
entity |
| Predicate | 意匠モチーフ |
P51314
|
FINISHED |
| Object | 旭日 |
—
|
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: 旭日 | Statement: [旭日章, 意匠モチーフ, 旭日]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 意匠モチーフ Context triple: [旭日章, 意匠モチーフ, 旭日]
-
A.
خيوط التطريز
Indicates the relationship of being threads specifically used for embroidery work.
-
B.
MusubiConcept
Indicates a conceptual or thematic connection between entities that are metaphorically or structurally “tied together” as a unified whole.
-
C.
hasFlowerMotif
Indicates that one entity features or is decorated with a flower-themed design or pattern in relation to another entity.
-
D.
traditionalMotif
chosen
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
-
E.
JapaneseDesignation
Indicates that one entity is formally designated, named, or classified in the Japanese language or by a Japanese authority.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.