Triple
T26968364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 消費者及び食品安全担当大臣 |
E679235
|
entity |
| Predicate | positionInJapanese |
P180605
|
FINISHED |
| Object | 消費者及び食品安全担当大臣 |
—
|
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: 消費者及び食品安全担当大臣 | Statement: [消費者及び食品安全担当大臣, positionInJapanese, 消費者及び食品安全担当大臣]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInJapanese Context triple: [消費者及び食品安全担当大臣, positionInJapanese, 消費者及び食品安全担当大臣]
-
A.
chartPositionJapan
Indicates the position or ranking of something on a music or sales chart specifically within Japan.
-
B.
rankInJapaneseOrders
Indicates the position or level an entity holds within the hierarchy of Japanese orders, decorations, or honors.
-
C.
JapaneseFormation
Indicates a relationship where something is formed, created, or organized according to Japanese style, methods, or origin.
-
D.
japaneseOnReading
Indicates the on-yomi (Sino-Japanese) pronunciation associated with a given Japanese kanji or term.
-
E.
positionInShikokuPilgrimage
Indicates the specific sequential position an entity holds along the route of the Shikoku pilgrimage.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 27, 2026, 6:37 a.m.