Triple
T13256095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiribeshi Subprefecture |
E315661
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kyowa
Kyowa is a town located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido, known for its agricultural landscape and rural character.
|
E1037373
|
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: Kyowa | Statement: [Shiribeshi Subprefecture, contains, Kyowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyowa Context triple: [Shiribeshi Subprefecture, contains, Kyowa]
-
A.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
B.
Owariasahi
Owariasahi is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
-
C.
Komatsu
Komatsu is a city in Ishikawa Prefecture, Japan, known for its manufacturing industry and as the namesake of the global construction equipment company Komatsu Ltd.
-
D.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
E.
Mitaka
Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
- 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: Kyowa Triple: [Shiribeshi Subprefecture, contains, Kyowa]
Generated description
Kyowa is a town located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido, known for its agricultural landscape and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyowa Target entity description: Kyowa is a town located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido, known for its agricultural landscape and rural character.
-
A.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
B.
Owariasahi
Owariasahi is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
-
C.
Komatsu
Komatsu is a city in Ishikawa Prefecture, Japan, known for its manufacturing industry and as the namesake of the global construction equipment company Komatsu Ltd.
-
D.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
-
E.
Mitaka
Mitaka is a city in western Tokyo, Japan, known for its residential neighborhoods, parks, and the Ghibli Museum.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7614fc8190a1cac076d706e9aa |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72664b9a48190a76e0c3dfaaf3d7a |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f72a6fdf7c8190a2345e6771228968 |
completed | May 3, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72ac6b4688190a2052a44b445b14b |
completed | May 3, 2026, 11 a.m. |
Created at: April 9, 2026, 9:24 p.m.