Triple
T25647700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大日本帝国 |
E643007
|
entity |
| Predicate | 近代化政策 |
P32208
|
FINISHED |
| Object |
廃藩置県
廃藩置県は、明治維新期に日本の封建的な藩制度を廃止して中央集権的な府県制へと再編した行政改革である。
|
E1689137
|
NE FINISHED |
How this triple was built (3 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: 廃藩置県 | Statement: [大日本帝国, 近代化政策, 廃藩置県]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 廃藩置県 Triple: [大日本帝国, 近代化政策, 廃藩置県]
Generated description
廃藩置県は、明治維新期に日本の封建的な藩制度を廃止して中央集権的な府県制へと再編した行政改革である。
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, 廃藩置県]
-
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10c144ce68819096987f3203ddd951 |
completed | May 22, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_6a10c247b5c881908c687885a5c14440 |
completed | May 22, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10c2b68f648190a5b6bc8e3433af94 |
completed | May 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:57 p.m.