Triple
T14083556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Series E5 Shinkansen |
E338930
|
entity |
| Predicate | operatorService |
P5884
|
FINISHED |
| Object | Nasuno |
E607558
|
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: Nasuno | Statement: [Series E5 Shinkansen, operatorService, Nasuno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasuno Context triple: [Series E5 Shinkansen, operatorService, Nasuno]
-
A.
Nasuno
chosen
Nasuno is a Japanese Shinkansen train service that operates on the Tōhoku Shinkansen line, primarily providing all-stations or local high-speed service in the northern Kanto and southern Tōhoku regions.
-
B.
Ogawa
Ogawa is a serotype of the bacterium Vibrio cholerae O1, commonly associated with cholera outbreaks worldwide.
-
C.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
-
D.
Nakagawa
Nakagawa is a river in Japan, likely a tributary or neighboring waterway associated with the Edogawa River system.
-
E.
Takizawa
Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate 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_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_69fcf7dc62b081909f3c9259295064cf |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:21 p.m.