Triple
T1592246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumida |
E34202
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Edogawa
Edogawa is a special ward in eastern Tokyo, Japan, known for its residential neighborhoods, riverside parks, and family-oriented attractions.
|
E181380
|
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: Edogawa | Statement: [Sumida, borders, Edogawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edogawa Context triple: [Sumida, borders, Edogawa]
-
A.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
B.
Adachi
Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
-
C.
Kodama Gentarō
Kodama Gentarō was a Japanese general and statesman who served as Governor-General of Taiwan, playing a key role in establishing Japanese colonial administration there in the late 19th and early 20th centuries.
-
D.
Kita Kojima
Kita Kojima is one of the small, uninhabited islets that form part of the disputed Senkaku Islands in the East China Sea.
-
E.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
- 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: Edogawa Triple: [Sumida, borders, Edogawa]
Generated description
Edogawa is a special ward in eastern Tokyo, Japan, known for its residential neighborhoods, riverside parks, and family-oriented attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edogawa Target entity description: Edogawa is a special ward in eastern Tokyo, Japan, known for its residential neighborhoods, riverside parks, and family-oriented attractions.
-
A.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
B.
Adachi
Adachi is a special ward in northern Tokyo, Japan, known as a primarily residential and industrial area along the Arakawa River.
-
C.
Kodama Gentarō
Kodama Gentarō was a Japanese general and statesman who served as Governor-General of Taiwan, playing a key role in establishing Japanese colonial administration there in the late 19th and early 20th centuries.
-
D.
Kita Kojima
Kita Kojima is one of the small, uninhabited islets that form part of the disputed Senkaku Islands in the East China Sea.
-
E.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2c480008190bb472cfdab74c387 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a357d48190aa4151967ce6a947 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4941fcb08190adfba998bdadd3ef |
completed | March 8, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad4a05981881908a16c126254c2050 |
completed | March 8, 2026, 10:05 a.m. |
Created at: March 4, 2026, 7:27 p.m.