Triple
T7959964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mito, Ibaraki, Japan |
E184836
|
entity |
| Predicate | hasGarden |
P105
|
FINISHED |
| Object | Kairakuen |
E709119
|
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: Kairakuen | Statement: [Mito, Ibaraki, Japan, hasGarden, Kairakuen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kairakuen Context triple: [Mito, Ibaraki, Japan, hasGarden, Kairakuen]
-
A.
Kairakuen
chosen
Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
-
B.
Kasuga
Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
-
C.
Kasuga
Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
-
D.
Midorigaoka
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
-
E.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8136448190890f007fb4fb7625 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc937e687081908ae33ae7335d685e |
completed | April 1, 2026, 3:39 a.m. |
Created at: March 30, 2026, 5:12 p.m.