Triple
T2434159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 瑞宝章 |
E52915
|
entity |
| Predicate | orderOfPrecedenceInJapan |
P1616
|
FINISHED |
| Object | 旭日章の下位 |
—
|
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: 旭日章の下位 | Statement: [瑞宝章, orderOfPrecedenceInJapan, 旭日章の下位]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfPrecedenceInJapan Context triple: [瑞宝章, orderOfPrecedenceInJapan, 旭日章の下位]
-
A.
orderPrecedence
Indicates that one entity must come before another in a defined sequence or priority order.
-
B.
nameOrderInJapan
Indicates that the person’s name is written or presented in the Japanese order, with the family name appearing before the given name.
-
C.
gdpRankInJapan
Indicates the position of an entity in the ordered ranking of GDP values within Japan.
-
D.
confersPrecedenceIn
chosen
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
E.
orderPrecedenceInCanada
Indicates the relative legal or procedural priority that one item holds over another specifically within the Canadian context.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.