Triple
T17211164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōshinetsu region |
E417732
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Kōfu |
—
|
NE NERFINISHED |
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: Kōfu | Statement: [Kōshinetsu region, hasMajorCity, Kōfu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōfu Context triple: [Kōshinetsu region, hasMajorCity, Kōfu]
-
A.
Kofu
chosen
Kofu is the capital city of Yamanashi Prefecture in central Japan, known for its surrounding mountains, hot springs, and proximity to the Fuji Five Lakes region.
-
B.
Hikone
Hikone is a historic city in Shiga Prefecture, Japan, best known for its well-preserved Hikone Castle overlooking Lake Biwa.
-
C.
Ogaki
Ogaki is a Japanese city in Gifu Prefecture known as a regional commercial center and historical castle town in central Honshu.
-
D.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
-
E.
Kōka
Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc5a51481908d5ea0f9a1e9aa8b |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.