Triple
T3186699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cordon of the Order of the Paulownia Flowers |
E66714
|
entity |
| Predicate | honorificCategory |
P20172
|
FINISHED |
| Object | national order |
—
|
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: national order | Statement: [Grand Cordon of the Order of the Paulownia Flowers, honorificCategory, national order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificCategory Context triple: [Grand Cordon of the Order of the Paulownia Flowers, honorificCategory, national order]
-
A.
honorificType
chosen
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
B.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
C.
honorificIndicates
Indicates that one entity uses an honorific title or respectful form of address to refer to or address another entity.
-
D.
honorificDescription
Indicates that one entity is described using an honorific or respectful title or phrase referring to another entity.
-
E.
honorificNature
Indicates that the relationship involves the use or assignment of an honorific title or respectful form of address between entities.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6c32ce88190a231be18d38ec5ba |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.