Triple
T13062317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokohama Bay Bridge |
E329227
|
entity |
| Predicate | JapaneseName |
P744
|
FINISHED |
| Object | 横浜ベイブリッジ |
E329227
|
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: 横浜ベイブリッジ | Statement: [Yokohama Bay Bridge, JapaneseName, 横浜ベイブリッジ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 横浜ベイブリッジ Context triple: [Yokohama Bay Bridge, JapaneseName, 横浜ベイブリッジ]
-
A.
Tokyo Bay Aqua-Line Bridge
The Tokyo Bay Aqua-Line Bridge is the long bridge section of the Tokyo Bay Aqua-Line, a combined bridge–tunnel route that spans Tokyo Bay to connect Chiba and Kanagawa Prefectures in Japan.
-
B.
Yokohama Bay Bridge
chosen
Yokohama Bay Bridge is a prominent cable-stayed bridge in Yokohama, Japan, known for its striking night illumination and panoramic views over Tokyo Bay.
-
C.
Togetsukyo Bridge
Togetsukyo Bridge is a historic and scenic wooden bridge in Kyoto’s Arashiyama district, famous for its picturesque views of seasonal foliage and cherry blossoms.
-
D.
東京湾アクアライン
東京湾アクアラインは、東京湾を横断して神奈川県川崎市と千葉県木更津市を結ぶ海底トンネルと長大橋から成る有料道路です。
-
E.
Nijūbashi Bridge
Nijūbashi Bridge is a famous pair of arched bridges at the main entrance to Tokyo’s Imperial Palace, known as one of Japan’s most iconic and photographed landmarks.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.