Triple
T12614608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 北海道大学水産学部 |
E301218
|
entity |
| Predicate | prefecture |
P7509
|
FINISHED |
| Object | 北海道 |
E12089
|
NE FINISHED |
How this triple was built (2 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: 北海道 | Statement: [北海道大学水産学部, prefecture, 北海道]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北海道 Context triple: [北海道大学水産学部, prefecture, 北海道]
-
A.
Hokkaido
chosen
Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
-
B.
Akita Prefecture
Akita Prefecture is a largely rural region in Japan’s Tōhoku area, known for its rice farming, heavy snowfall, hot springs, and traditional festivals such as the Akita Kanto Matsuri.
-
C.
Aomori Prefecture
Aomori Prefecture is Japan’s northernmost prefecture on the main island of Honshu, known for its rugged natural landscapes, apple production, and the city of Aomori.
-
D.
Tohoku
Tohoku is the northeastern region of Japan’s main island, known for its rural landscapes, harsh winters, and rich traditional culture.
-
E.
Rusutsu, Hokkaido
Rusutsu, Hokkaido is a village in Japan’s northernmost prefecture best known for its large ski resort and year-round outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c4f5b48190af76414ef678ba7c |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c6f8e9881908f350aa3cefef269 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:12 p.m.