Triple
T22533354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京都港区 |
E557098
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object |
広尾
広尾は、東京都港区に位置する高級住宅街と洗練された商業エリアが混在する人気の街です。
|
E1541852
|
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: 広尾 | Statement: [東京都港区, containsDistrict, 広尾]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 広尾 Context triple: [東京都港区, containsDistrict, 広尾]
-
A.
Shinbashi
Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
-
B.
Hamamatsucho
Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
-
C.
Minami-Aoyama
Minami-Aoyama is an upscale district in Tokyo’s Minato ward known for its fashionable boutiques, stylish cafes, and contemporary art galleries.
-
D.
Nishi-Ogikubo
Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
-
E.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
- 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: 広尾 Triple: [東京都港区, containsDistrict, 広尾]
Generated description
広尾は、東京都港区に位置する高級住宅街と洗練された商業エリアが混在する人気の街です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 広尾 Target entity description: 広尾は、東京都港区に位置する高級住宅街と洗練された商業エリアが混在する人気の街です。
-
A.
Shinbashi
Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
-
B.
Hamamatsucho
Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
-
C.
Minami-Aoyama
Minami-Aoyama is an upscale district in Tokyo’s Minato ward known for its fashionable boutiques, stylish cafes, and contemporary art galleries.
-
D.
Nishi-Ogikubo
Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
-
E.
Shinagawa
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
- 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.