Triple
T11934282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
台東区
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
|
E954806
|
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: 台東区 | Statement: [文京区, borders, 台東区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 台東区 Context triple: [文京区, borders, 台東区]
-
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.
磯子区
磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
-
C.
Takatsu-ku
Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
D.
Taisho-ku
Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
-
E.
Toshima ward
Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
- 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: 台東区 Triple: [文京区, borders, 台東区]
Generated description
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 台東区 Target entity description: 台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
-
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.
磯子区
磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
-
C.
Takatsu-ku
Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
D.
Taisho-ku
Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
-
E.
Toshima ward
Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
- 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.