Triple
T14525733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日本国旗 |
E340770
|
entity |
| Predicate | 円の直径比率 |
P114601
|
FINISHED |
| Object | 旗の縦の長さの3分の2 |
—
|
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: 旗の縦の長さの3分の2 | Statement: [日本国旗, 円の直径比率, 旗の縦の長さの3分の2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 円の直径比率 Context triple: [日本国旗, 円の直径比率, 旗の縦の長さの3分の2]
-
A.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
B.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
-
C.
diameterRank
Indicates the relative ordering of entities based on the size of their diameters.
-
D.
circumference
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
E.
approximateDiameter
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.