Triple
T14337248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunihiko Kodaira |
E355495
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Kofu |
—
|
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: Kofu | Statement: [Kunihiko Kodaira, placeOfDeath, Kofu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kofu Context triple: [Kunihiko Kodaira, placeOfDeath, Kofu]
-
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.
Kakegawa City
Kakegawa City is a regional city in central Japan known for its historic Kakegawa Castle and high-quality green tea production.
-
D.
Neyagawa
Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
-
E.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
Created at: April 10, 2026, 1:14 a.m.