Triple
T8354654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中部地方 |
E196653
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | 信濃川 |
E55059
|
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: 信濃川 | Statement: [中部地方, hasRiver, 信濃川]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 信濃川 Context triple: [中部地方, hasRiver, 信濃川]
-
A.
木曽川
木曽川 is a major river in central Japan that flows through the Kiso Valley and is known for its scenic beauty and historical importance as part of the Nōbi Plain river system.
-
B.
Shinano River
chosen
The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
-
C.
Sagami River
The Sagami River is a major river in central Japan that flows through Yamanashi and Kanagawa Prefectures before reaching the Pacific Ocean.
-
D.
Tokachi River
The Tokachi River is a major river in Hokkaido, Japan, known for flowing through the Tokachi Plain and supporting regional agriculture and settlements.
-
E.
Neyagawa River
The Neyagawa River is a waterway in Osaka Prefecture, Japan, that flows through urban areas such as Higashiōsaka and plays a role in local drainage and flood control.
- 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_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75e94288190ba1905dd4ca172dd |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 5:59 p.m.