Triple
T18763244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 統合幕僚長 |
E458827
|
entity |
| Predicate | officeLocation |
P40
|
FINISHED |
| Object |
市ヶ谷地区
市ヶ谷地区は、東京都新宿区に位置し、防衛省・自衛隊関連施設が集積する日本の主要な防衛拠点エリアである。
|
E1341937
|
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: 市ヶ谷地区 | Statement: [統合幕僚長, officeLocation, 市ヶ谷地区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 市ヶ谷地区 Context triple: [統合幕僚長, officeLocation, 市ヶ谷地区]
-
A.
千駄ヶ谷
千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
-
B.
Nakameguro
Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
-
C.
Naka-Meguro area
The Naka-Meguro area is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafés, boutiques, and relaxed residential atmosphere.
-
D.
Toyohira Ward
Toyohira Ward is one of the ten administrative wards of Sapporo, Japan, known for its residential neighborhoods, universities, and parks along the Toyohira River.
-
E.
Tsuboya district
Tsuboya district is a historic area in Naha, Okinawa, renowned as the traditional center of Ryukyuan pottery production and culture.
- 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: 市ヶ谷地区 Triple: [統合幕僚長, officeLocation, 市ヶ谷地区]
Generated description
市ヶ谷地区は、東京都新宿区に位置し、防衛省・自衛隊関連施設が集積する日本の主要な防衛拠点エリアである。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 市ヶ谷地区 Target entity description: 市ヶ谷地区は、東京都新宿区に位置し、防衛省・自衛隊関連施設が集積する日本の主要な防衛拠点エリアである。
-
A.
千駄ヶ谷
千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
-
B.
Nakameguro
Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
-
C.
Naka-Meguro area
The Naka-Meguro area is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafés, boutiques, and relaxed residential atmosphere.
-
D.
Toyohira Ward
Toyohira Ward is one of the ten administrative wards of Sapporo, Japan, known for its residential neighborhoods, universities, and parks along the Toyohira River.
-
E.
Tsuboya district
Tsuboya district is a historic area in Naha, Okinawa, renowned as the traditional center of Ryukyuan pottery production and culture.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d407b0c819090e6d66430db4a39 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053df532c48190b153dd9f790f1cc8 |
completed | May 14, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0541e2d4008190a8beb79812ccf485 |
completed | May 14, 2026, 3:30 a.m. |
Created at: April 10, 2026, 11:52 a.m.