Triple
T8354671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中部地方 |
E196653
|
entity |
| Predicate | hasShinkansenLine |
P39390
|
FINISHED |
| Object | 北陸新幹線 |
E188825
|
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: 北陸新幹線 | Statement: [中部地方, hasShinkansenLine, 北陸新幹線]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 北陸新幹線 Context triple: [中部地方, hasShinkansenLine, 北陸新幹線]
-
A.
Hokuriku Shinkansen
chosen
The Hokuriku Shinkansen is a high-speed rail line in Japan connecting Tokyo with cities along the Sea of Japan coast, including Nagano, Toyama, and Kanazawa.
-
B.
Hokkaido Shinkansen
Hokkaido Shinkansen is a high-speed railway line in Japan that connects the island of Hokkaido with the main Honshu island via the undersea Seikan Tunnel.
-
C.
Jōetsu Shinkansen
The Jōetsu Shinkansen is a high-speed rail line in Japan that connects Tokyo with the Niigata region, providing rapid passenger service through central Honshu.
-
D.
Tōhoku Shinkansen
The Tōhoku Shinkansen is a high-speed rail line in Japan that connects Tokyo with the Tōhoku region in the northeast of Honshu.
-
E.
Yamagata Shinkansen
The Yamagata Shinkansen is a Japanese high-speed "mini-shinkansen" rail line connecting Tokyo with Yamagata Prefecture by upgrading conventional tracks for Shinkansen through-service.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd120a1ec8190a8dc101fa1371780 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7b2d00c8190b7df13a0853a6374 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:59 p.m.