Triple
T28188186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese honors system |
E716232
|
entity |
| Predicate | reformContent |
P4888
|
FINISHED |
| Object | restructuring of classes of orders |
—
|
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: restructuring of classes of orders | Statement: [Japanese honors system, reformContent, restructuring of classes of orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reformContent Context triple: [Japanese honors system, reformContent, restructuring of classes of orders]
-
A.
reform
chosen
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
B.
requestedReform
Indicates that one entity has asked another entity to implement or consider a specific reform or change to an existing system, policy, or practice.
-
C.
typeOfReformBody
Indicates that one entity is a reform body that is classified as a specific type or category of reform body represented by the other entity.
-
D.
reformsBy
Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
-
E.
canReform
Indicates that an entity has the ability or potential to change, improve, or be corrected from a previous state, behavior, or condition.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64288631881909ffef7aa84199ae8 |
completed | May 2, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:24 p.m.