Triple
T17828748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikawa Subprefecture |
E445192
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Shimukappu
Shimukappu is a small village in central Hokkaido, Japan, known for its mountainous terrain, heavy snowfall, and ski resort areas.
|
E1563745
|
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: Shimukappu | Statement: [Kamikawa Subprefecture, contains, Shimukappu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimukappu Context triple: [Kamikawa Subprefecture, contains, Shimukappu]
-
A.
Mihama
Mihama is a coastal town in Aichi Prefecture, Japan, known for its seaside scenery and role as part of the Chita Peninsula region.
-
B.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
C.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
D.
Himejima
Himejima is one of the small islands in Tokyo’s Mukojima Islands group, known for its remote, natural setting in the Pacific.
-
E.
Yashima
Yashima was a former municipality in Akita Prefecture, Japan, that later became part of the city of Yurihonjō through a municipal merger.
- 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: Shimukappu Triple: [Kamikawa Subprefecture, contains, Shimukappu]
Generated description
Shimukappu is a small village in central Hokkaido, Japan, known for its mountainous terrain, heavy snowfall, and ski resort areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shimukappu Target entity description: Shimukappu is a small village in central Hokkaido, Japan, known for its mountainous terrain, heavy snowfall, and ski resort areas.
-
A.
Mihama
Mihama is a coastal town in Aichi Prefecture, Japan, known for its seaside scenery and role as part of the Chita Peninsula region.
-
B.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
C.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
D.
Himejima
Himejima is one of the small islands in Tokyo’s Mukojima Islands group, known for its remote, natural setting in the Pacific.
-
E.
Yashima
Yashima was a former municipality in Akita Prefecture, Japan, that later became part of the city of Yurihonjō through a municipal merger.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9fb986081909c57065725c4b05d |
completed | May 19, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0bcb4762dc8190aaf9d245309db7a2 |
completed | May 19, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbd766e88190a76a8086fe7fe93b |
completed | May 19, 2026, 2:32 a.m. |
Created at: April 10, 2026, 10:15 a.m.