Triple
T23322103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokachi region |
E591178
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Rikubetsu
Rikubetsu is a small town in eastern Hokkaido, Japan, best known as one of the coldest inhabited places in the country.
|
E1582727
|
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: Rikubetsu | Statement: [Tokachi region, hasMunicipality, Rikubetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rikubetsu Context triple: [Tokachi region, hasMunicipality, Rikubetsu]
-
A.
Rikusentai
Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
-
B.
Makubetsu
Makubetsu is a town in Hokkaido, Japan, known for its agricultural production and scenic rural landscapes in the Tokachi subprefecture.
-
C.
Nakashibetsu
Nakashibetsu is a town in eastern Hokkaido, Japan, known for its dairy farming, expansive rural landscapes, and the easternmost airport in the country.
-
D.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
E.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
- 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: Rikubetsu Triple: [Tokachi region, hasMunicipality, Rikubetsu]
Generated description
Rikubetsu is a small town in eastern Hokkaido, Japan, best known as one of the coldest inhabited places in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rikubetsu Target entity description: Rikubetsu is a small town in eastern Hokkaido, Japan, best known as one of the coldest inhabited places in the country.
-
A.
Rikusentai
Rikusentai were elite Japanese naval infantry units of the Imperial Japanese Navy that conducted amphibious assaults and ground combat operations before and during World War II.
-
B.
Makubetsu
Makubetsu is a town in Hokkaido, Japan, known for its agricultural production and scenic rural landscapes in the Tokachi subprefecture.
-
C.
Nakashibetsu
Nakashibetsu is a town in eastern Hokkaido, Japan, known for its dairy farming, expansive rural landscapes, and the easternmost airport in the country.
-
D.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
E.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dc451748190875e220e2ca971ca |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5f90146c8190b5035747abcfdb6e |
completed | May 19, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c601b5d288190b5cf4f3e0c8cde15 |
completed | May 19, 2026, 1:05 p.m. |
Created at: April 17, 2026, 5:07 p.m.