Triple
T14525750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日本国旗 |
E340770
|
entity |
| Predicate | 正式な国旗としての位置付け |
P114603
|
FINISHED |
| Object | 明治期以降慣習的に国旗と認識 |
—
|
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: 明治期以降慣習的に国旗と認識 | Statement: [日本国旗, 正式な国旗としての位置付け, 明治期以降慣習的に国旗と認識]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 正式な国旗としての位置付け Context triple: [日本国旗, 正式な国旗としての位置付け, 明治期以降慣習的に国旗と認識]
-
A.
isOnFlagOf
Indicates that something (typically a symbol, image, or design element) appears on or is depicted on a flag.
-
B.
notOfficialFlagOf
Indicates that a flag is explicitly not recognized or designated as the official flag of a given entity.
-
C.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
D.
adoptedAsRegionalFlagInCountry
Indicates that a flag has been officially adopted for use as a regional flag within a specific country.
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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.