Triple
T14083554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Series E5 Shinkansen |
E338930
|
entity |
| Predicate | operatorService |
P5884
|
FINISHED |
| Object | Hayate |
E829987
|
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: Hayate | Statement: [Series E5 Shinkansen, operatorService, Hayate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayate Context triple: [Series E5 Shinkansen, operatorService, Hayate]
-
A.
Hayate
chosen
Hayate is a high-speed train service in Japan that operates on the Tōhoku Shinkansen line.
-
B.
Hitakatsu
Hitakatsu is a port town on Tsushima Island in Nagasaki Prefecture, Japan, serving as a key gateway for maritime transport between Japan and South Korea.
-
C.
Hoori
Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
-
D.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
E.
Hayato
Hayato is a masculine Japanese given name commonly used for boys and borne by various notable figures in politics, sports, and entertainment.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb676620481908ed2fa5687a21866 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.