Triple
T34158943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 衆議院小選挙区 |
E876220
|
entity |
| Predicate | delimitationAdvisedBy |
P178451
|
FINISHED |
| Object |
衆議院議員選挙区画定審議会
衆議院議員選挙区画定審議会は、日本の衆議院小選挙区の区割りや見直しについて専門的な調査・審議を行い、政府に勧告するために設置された審議会である。
|
E2085025
|
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: 衆議院議員選挙区画定審議会 | Statement: [衆議院小選挙区, delimitationAdvisedBy, 衆議院議員選挙区画定審議会]
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: 衆議院議員選挙区画定審議会 Triple: [衆議院小選挙区, delimitationAdvisedBy, 衆議院議員選挙区画定審議会]
Generated description
衆議院議員選挙区画定審議会は、日本の衆議院小選挙区の区割りや見直しについて専門的な調査・審議を行い、政府に勧告するために設置された審議会である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: delimitationAdvisedBy Context triple: [衆議院小選挙区, delimitationAdvisedBy, 衆議院議員選挙区画定審議会]
-
A.
delimitationBodyEstablishedBy
Indicates that a boundary or delimitation body was formally created or set up by a specified agent or authority.
-
B.
delimitationBody
Indicates the boundary or extent of something, specifying the limits that define where it begins and ends.
-
C.
delimitationCompleted
Indicates that the process of defining and establishing clear boundaries or limits between entities has been fully completed.
-
D.
delimitationMethod
Indicates the method or process used to establish or define the boundaries or limits of something.
-
E.
delimitationAffectedIn
Indicates that one entity’s delimitation or boundary definition is influenced, altered, or impacted by another entity.
- F. None of above. chosen
Provenance (7 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36c1d188a08190acf117c920fdf470 |
completed | June 20, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a36c63dd5e48190b456b5a95e6f7a93 |
completed | June 20, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36c799cbc881908eb4e74997355460 |
completed | June 20, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.