Triple
T8876481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shukugawa River |
E211297
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
しゅくがわ
しゅくがわ is a scenic river in Hyōgo Prefecture, Japan, known for its cherry blossom-lined banks and popular hanami spots in the Nishinomiya area.
|
E765250
|
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: しゅくがわ | Statement: [Shukugawa River, hasNameInJapanese, しゅくがわ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: しゅくがわ Context triple: [Shukugawa River, hasNameInJapanese, しゅくがわ]
-
A.
Karasuwa
Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
-
B.
Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
-
C.
Gushikawa
Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
- 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: しゅくがわ Triple: [Shukugawa River, hasNameInJapanese, しゅくがわ]
Generated description
しゅくがわ is a scenic river in Hyōgo Prefecture, Japan, known for its cherry blossom-lined banks and popular hanami spots in the Nishinomiya area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: しゅくがわ Target entity description: しゅくがわ is a scenic river in Hyōgo Prefecture, Japan, known for its cherry blossom-lined banks and popular hanami spots in the Nishinomiya area.
-
A.
Karasuwa
Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
-
B.
Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
-
C.
Gushikawa
Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfaba6f2f481909a30f71e96bc9079 |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfadb1cd848190ac8b59518591761c |
completed | April 3, 2026, 12:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfae30e3b881909cfc7c560b7ca485 |
completed | April 3, 2026, 12:10 p.m. |
Created at: March 30, 2026, 6:52 p.m.