Triple
T17915252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishima, Shizuoka |
E447908
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Rakujuen 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: Rakujuen Park | Statement: [Mishima, Shizuoka, hasPark, Rakujuen Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakujuen Park Context triple: [Mishima, Shizuoka, hasPark, Rakujuen Park]
-
A.
Rakujuen Park
chosen
Rakujuen Park is a historic Japanese garden and public park in Mishima, Shizuoka Prefecture, known for its scenic ponds, traditional landscaping, and views of Mount Fuji.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Kannonzaki Park
Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
-
D.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
E.
Rinshi-no-mori Park
Rinshi-no-mori Park is a wooded urban park in Tokyo known for its rich greenery, walking trails, and tranquil natural atmosphere amid the city.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.