Triple
T8185653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamagata Shinkansen |
E191174
|
entity |
| Predicate | services |
P4690
|
FINISHED |
| Object | Tsubasa |
E583846
|
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: Tsubasa | Statement: [Yamagata Shinkansen, services, Tsubasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsubasa Context triple: [Yamagata Shinkansen, services, Tsubasa]
-
A.
Tsubasa
chosen
Tsubasa is a Japanese Shinkansen high-speed train service that operates on the Yamagata Shinkansen line.
-
B.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
-
C.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Yuzuriha
Yuzuriha is an evergreen tree commonly used in Japan as a symbolic plant, notably serving as the official tree emblem of Kōchi Prefecture.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf9a0e24819098f1693e78dc7445 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:41 p.m.