Triple
T37017397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taihō |
E916119
|
entity |
| Predicate | administrativeReformType |
P98268
|
FINISHED |
| Object | codification of offices and ranks |
—
|
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: codification of offices and ranks | Statement: [Taihō, administrativeReformType, codification of offices and ranks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeReformType Context triple: [Taihō, administrativeReformType, codification of offices and ranks]
-
A.
typeOfReforms
chosen
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
B.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
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.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
E.
isReformOriented
Indicates that an entity is oriented toward initiating, supporting, or implementing reforms or improvements within a system, policy, or practice.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 3, 2026, 4:14 p.m.