Triple
T8865543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minami-ku, Sapporo |
E211008
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Kimobetsu
Kimobetsu is a small town in Hokkaido, Japan, known for its rural landscape and proximity to the Sapporo metropolitan area.
|
E762966
|
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: Kimobetsu | Statement: [Minami-ku, Sapporo, hasBorderWith, Kimobetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimobetsu Context triple: [Minami-ku, Sapporo, hasBorderWith, Kimobetsu]
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
C.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
- 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: Kimobetsu Triple: [Minami-ku, Sapporo, hasBorderWith, Kimobetsu]
Generated description
Kimobetsu is a small town in Hokkaido, Japan, known for its rural landscape and proximity to the Sapporo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimobetsu Target entity description: Kimobetsu is a small town in Hokkaido, Japan, known for its rural landscape and proximity to the Sapporo metropolitan area.
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
C.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6106d41081909db710bda8aaf6fd |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0d311148190823cc047e2908bc0 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1721f4c819097603adb9a0d38ef |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa26ab1b881909e42a435f4e3333c |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:51 p.m.