Triple
T11934285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
|
E954807
|
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: 荒川区 | Statement: [文京区, borders, 荒川区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 荒川区 Context triple: [文京区, borders, 荒川区]
-
A.
千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
-
B.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
C.
浦和区
浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
-
D.
文京区
文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
-
E.
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.
- 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: 荒川区 Triple: [文京区, borders, 荒川区]
Generated description
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 荒川区 Target entity description: 荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
A.
千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
-
B.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
C.
浦和区
浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
-
D.
文京区
文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
-
E.
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.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4407cc2388190b0f849fbeed89ab7 |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.