Triple
T15406740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishikari Subprefecture |
E368476
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Shinshinotsu
Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
|
E1155152
|
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: Shinshinotsu | Statement: [Ishikari Subprefecture, contains, Shinshinotsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinshinotsu Context triple: [Ishikari Subprefecture, contains, Shinshinotsu]
-
A.
Minamisaiwai
Minamisaiwai is a commercial and business district in Nishi Ward, Yokohama, known for its shopping facilities and proximity to Yokohama Station.
-
B.
Tepapuri
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
-
C.
Ako Onsen
Ako Onsen is a coastal hot spring resort area in Ako, Hyōgo Prefecture, Japan, known for its seaside baths and views of the Seto Inland Sea.
-
D.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
-
E.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
- 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: Shinshinotsu Triple: [Ishikari Subprefecture, contains, Shinshinotsu]
Generated description
Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinshinotsu Target entity description: Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
-
A.
Minamisaiwai
Minamisaiwai is a commercial and business district in Nishi Ward, Yokohama, known for its shopping facilities and proximity to Yokohama Station.
-
B.
Tepapuri
Tepapuri is one of the smaller islands that form part of the remote Gambier Islands archipelago in French Polynesia.
-
C.
Ako Onsen
Ako Onsen is a coastal hot spring resort area in Ako, Hyōgo Prefecture, Japan, known for its seaside baths and views of the Seto Inland Sea.
-
D.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
-
E.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135a26f08190ad3fc1d5a263a24e |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff144af00481909191a2d33874c195 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff15ae7c9c81909fd0894e48e5b5b1 |
completed | May 9, 2026, 11:08 a.m. |
Created at: April 10, 2026, 3:20 a.m.