Triple
T21324740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujikawaguchiko |
E525719
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Oishi Park |
—
|
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: Oishi Park | Statement: [Fujikawaguchiko, hasAttraction, Oishi Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oishi Park Context triple: [Fujikawaguchiko, hasAttraction, Oishi Park]
-
A.
Oishi Park
chosen
Oishi Park is a scenic lakeside park in Japan renowned for its seasonal flower displays and panoramic views of Mount Fuji across Lake Kawaguchi.
-
B.
Tokiwa Park
Tokiwa Park is a scenic public park in Asahikawa, Japan, known for its ponds, walking paths, and seasonal flower displays.
-
C.
Ohori Park
Ohori Park is a large, scenic public park in Fukuoka City, Japan, known for its central pond, walking paths, and traditional Japanese garden.
-
D.
Utsubo Park
Utsubo Park is a large urban green space in central Osaka known for its rose garden, tennis courts, and role as a popular recreational and event spot.
-
E.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed7732c8190a0e7aec6e7cbcef2 |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.