Triple
T12946506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinkansen |
E309780
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 新幹線 |
E309780
|
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: 新幹線 | Statement: [Shinkansen, nativeName, 新幹線]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 新幹線 Context triple: [Shinkansen, nativeName, 新幹線]
-
A.
Shinkansen
chosen
Shinkansen is Japan’s high-speed bullet train network, renowned for its punctuality, safety, and advanced rail technology.
-
B.
Shinonsen
Shinonsen is a town in northern Hyōgo Prefecture, Japan, known for its hot spring resorts and scenic coastal and mountainous landscapes.
-
C.
Sanyo Shinkansen
Sanyo Shinkansen is a high-speed railway line in Japan that connects Osaka with western Honshu cities such as Hiroshima and Fukuoka as part of the Shinkansen network.
-
D.
Tokaido Shinkansen
The Tokaido Shinkansen is Japan’s pioneering high-speed rail line connecting Tokyo with Osaka and other major cities, renowned for its speed, punctuality, and heavy passenger usage.
-
E.
Akita Shinkansen
The Akita Shinkansen is a Japanese high-speed "mini-shinkansen" rail line connecting Akita Prefecture with the Tōhoku Shinkansen network, providing fast intercity service to and from Tokyo.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af75bc04819098d98c47fca48ac9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.