Triple
T25647702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大日本帝国 |
E643007
|
entity |
| Predicate | 近代化政策 |
P32208
|
FINISHED |
| Object | 徴兵令 |
—
|
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: 徴兵令 | Statement: [大日本帝国, 近代化政策, 徴兵令]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 近代化政策 Context triple: [大日本帝国, 近代化政策, 徴兵令]
-
A.
modernizationPolicy
chosen
Indicates the implementation or presence of policies aimed at updating, reforming, or advancing existing systems, structures, or practices.
-
B.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
C.
modernization
Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
-
D.
modernizationPeriod
Indicates the time span during which an entity undergoes or is subject to modernization efforts or processes.
-
E.
modernizationPriority
Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faa6399c8190b24bba1b8ccc7bdc |
completed | May 2, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 5:57 p.m.