Triple
T2868534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokaido Shinkansen |
E63499
|
entity |
| Predicate | servicePattern |
P849
|
FINISHED |
| Object | Nozomi |
E306032
|
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: Nozomi | Statement: [Tokaido Shinkansen, servicePattern, Nozomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nozomi Context triple: [Tokaido Shinkansen, servicePattern, Nozomi]
-
A.
Nozomi
chosen
Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
-
B.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
C.
Haruko
Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
-
D.
Miraitowa
Miraitowa is the futuristic, blue-and-white checkered character created as the official mascot of the Tokyo 2020 Summer Olympics, symbolizing tradition, innovation, and a hopeful future.
-
E.
Hana
Hana is a person known primarily as the romantic partner of Kip.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfdfef1881909dc52a1b34cd24e3 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0314fe01081908dad360ba7f3944e |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.