Triple
T22533356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京都港区 |
E557098
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object |
西麻布
西麻布は、東京都港区に位置する高級住宅街と飲食店街が混在するエリアで、深夜まで営業するレストランやバーが多いことで知られる街です。
|
E1541853
|
NE FINISHED |
How this triple was built (4 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: 西麻布 | Statement: [東京都港区, containsDistrict, 西麻布]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 西麻布 Context triple: [東京都港区, containsDistrict, 西麻布]
-
A.
六本木
六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
-
B.
大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
C.
下北沢
下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
-
D.
世田谷区
世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
-
E.
表参道
表参道 is a fashionable, tree-lined avenue in Tokyo’s Harajuku/Omotesandō area, known for its upscale boutiques, cafes, and modern architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 西麻布 Triple: [東京都港区, containsDistrict, 西麻布]
Generated description
西麻布は、東京都港区に位置する高級住宅街と飲食店街が混在するエリアで、深夜まで営業するレストランやバーが多いことで知られる街です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 西麻布 Target entity description: 西麻布は、東京都港区に位置する高級住宅街と飲食店街が混在するエリアで、深夜まで営業するレストランやバーが多いことで知られる街です。
-
A.
六本木
六本木は、東京都港区に位置するナイトライフや高級飲食店、国際的なビジネス拠点として知られる繁華街エリアです。
-
B.
大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
C.
下北沢
下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
-
D.
世田谷区
世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
-
E.
表参道
表参道 is a fashionable, tree-lined avenue in Tokyo’s Harajuku/Omotesandō area, known for its upscale boutiques, cafes, and modern architecture.
- F. None of above. chosen
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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1ddee4f48190972567034fa0c9d7 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1f09934c81909c0d81a7838f5580 |
completed | May 18, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b258107088190ba81cb2d0a34209b |
completed | May 18, 2026, 2:43 p.m. |
Created at: April 16, 2026, 8:51 p.m.