Triple
T12592541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | 駒沢オリンピック公園 |
E313191
|
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: 駒沢オリンピック公園 | Statement: [世田谷区, hasPark, 駒沢オリンピック公園]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 駒沢オリンピック公園 Context triple: [世田谷区, hasPark, 駒沢オリンピック公園]
-
A.
Komazawa Olympic Park
chosen
Komazawa Olympic Park is a large sports and recreation complex in Tokyo that was originally developed as a venue for the 1964 Summer Olympics.
-
B.
駒沢
駒沢は東京都世田谷区に位置する住宅地で、駒沢オリンピック公園などの緑地や大学キャンパスが集まる落ち着いた街です。
-
C.
Miyashita Park
Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
-
D.
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
E.
Kasai Rinkai Park
Kasai Rinkai Park is a large seaside park in Tokyo known for its aquarium, bird sanctuary, and panoramic views of Tokyo Bay.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668679dfc8190ac05eeb200f23985 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:07 p.m.