Triple
T4213628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Crown of Japan |
E93962
|
entity |
| Predicate | insigniaMotive |
P21497
|
FINISHED |
| Object | Imperial chrysanthemum |
—
|
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: Imperial chrysanthemum | Statement: [Order of the Crown of Japan, insigniaMotive, Imperial chrysanthemum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaMotive Context triple: [Order of the Crown of Japan, insigniaMotive, Imperial chrysanthemum]
-
A.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
-
B.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
C.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
D.
legendaryMotive
Indicates a motive or driving reason behind an action or state that is regarded as legendary, iconic, or of mythic significance.
-
E.
symbolOnInsignia
chosen
Indicates that a particular symbol appears on or is featured as part of an insignia.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.