Triple
T13705374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 先斗町 |
E328625
|
entity |
| Predicate | neighboring |
P17964
|
FINISHED |
| Object |
鴨川
鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
|
E1218564
|
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: 鴨川 | Statement: [先斗町, neighboring, 鴨川]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鴨川 Context triple: [先斗町, neighboring, 鴨川]
-
A.
武庫川
武庫川 is a river in Japan that flows through Hyōgo Prefecture, including parts of Nishinomiya and Amagasaki, before emptying into Osaka Bay.
-
B.
Kansai River
Kansai River is a tributary watercourse in eastern India that feeds into the Subarnarekha River system.
-
C.
長良川
長良川 is a major river in central Japan renowned for its clear waters, traditional cormorant fishing, and scenic valleys flowing through Gifu Prefecture.
-
D.
Higashikagawa
Higashikagawa is a coastal city in eastern Kagawa Prefecture on Japan’s Shikoku island, known for its glove manufacturing industry and scenic Seto Inland Sea views.
-
E.
Ise River
The Ise River is a tributary watercourse in Lower Saxony, Germany, that feeds into the Aller River within the Weser river basin.
- 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: 鴨川 Triple: [先斗町, neighboring, 鴨川]
Generated description
鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 鴨川 Target entity description: 鴨川は京都市中心部を南北に流れ、四季折々の風景や川床などで知られる代表的な河川です。
-
A.
武庫川
武庫川 is a river in Japan that flows through Hyōgo Prefecture, including parts of Nishinomiya and Amagasaki, before emptying into Osaka Bay.
-
B.
Kansai River
Kansai River is a tributary watercourse in eastern India that feeds into the Subarnarekha River system.
-
C.
長良川
長良川 is a major river in central Japan renowned for its clear waters, traditional cormorant fishing, and scenic valleys flowing through Gifu Prefecture.
-
D.
Higashikagawa
Higashikagawa is a coastal city in eastern Kagawa Prefecture on Japan’s Shikoku island, known for its glove manufacturing industry and scenic Seto Inland Sea views.
-
E.
Ise River
The Ise River is a tributary watercourse in Lower Saxony, Germany, that feeds into the Aller River within the Weser river basin.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006065741c8190ad4ceb6bd3d60f9f |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00620e66788190acccf2c8fce00943 |
completed | May 10, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062665d908190b8127b21edcad30e |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:54 p.m.