Triple
T13338876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonegawa |
E317768
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
利根川
利根川は、関東地方を流れて太平洋に注ぐ日本有数の大河川です。
|
E1034958
|
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: 利根川 | Statement: [Tonegawa, hasJapaneseName, 利根川]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 利根川 Context triple: [Tonegawa, hasJapaneseName, 利根川]
-
A.
石川
石川は大阪府東部を流れ、大和川水系に属する中小河川です。
-
B.
鮎川 義介
鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
-
C.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
-
D.
玉川
玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
-
E.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
- 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: 利根川 Triple: [Tonegawa, hasJapaneseName, 利根川]
Generated description
利根川は、関東地方を流れて太平洋に注ぐ日本有数の大河川です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 利根川 Target entity description: 利根川は、関東地方を流れて太平洋に注ぐ日本有数の大河川です。
-
A.
石川
石川は大阪府東部を流れ、大和川水系に属する中小河川です。
-
B.
鮎川 義介
鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
-
C.
大山巌
大山巌は、日清戦争・日露戦争で活躍し元帥陸軍大将となった、日本近代陸軍を代表する軍人・政治家である。
-
D.
玉川
玉川 is a district in Tokyo’s Setagaya Ward known for its riverside location along the Tama River and its mix of residential areas and commercial facilities.
-
E.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f3bb06c8190beaf6dfbba9ff613 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f720861728819088bc43753d19bef8 |
completed | May 3, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7212ca3f48190915d73f987ec60d2 |
completed | May 3, 2026, 10:19 a.m. |
Created at: April 9, 2026, 9:31 p.m.