Triple
T11575709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR West Shinkansen |
E274498
|
entity |
| Predicate | serviceBrand |
P34842
|
FINISHED |
| Object | Hakutaka |
E756181
|
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: Hakutaka | Statement: [JR West Shinkansen, serviceBrand, Hakutaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakutaka Context triple: [JR West Shinkansen, serviceBrand, Hakutaka]
-
A.
Hakutaka
chosen
Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
-
B.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
C.
Taketoyo
Taketoyo is a coastal town in central Japan known for its industrial facilities and location within Aichi Prefecture.
-
D.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
-
E.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89049721081909278adfada668ef9 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457dc01ec8190a7ee3108d4d95957 |
completed | May 1, 2026, 7:35 a.m. |
Created at: April 8, 2026, 9:38 p.m.