Triple
T30441656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 兵庫県宝塚市 |
E774460
|
entity |
| Predicate | 隣接自治体 |
P33892
|
FINISHED |
| Object |
兵庫県三田市
兵庫県三田市は、兵庫県南東部に位置し、ニュータウン開発と自然環境が共存する住宅都市・ベッドタウンとして発展している市である。
|
E1915369
|
NE 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: 兵庫県三田市 | Statement: [兵庫県宝塚市, 隣接自治体, 兵庫県三田市]
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: 兵庫県三田市 Triple: [兵庫県宝塚市, 隣接自治体, 兵庫県三田市]
Generated description
兵庫県三田市は、兵庫県南東部に位置し、ニュータウン開発と自然環境が共存する住宅都市・ベッドタウンとして発展している市である。
Provenance (5 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2798c1f3f08190aeb481c0c6a80485 |
completed | June 9, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_6a279c3015cc8190aaeedc6222520b7b |
completed | June 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a279ce453108190a68db27eb0b35665 |
completed | June 9, 2026, 4:56 a.m. |
Created at: April 29, 2026, 8:08 p.m.