Triple
T2973362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagano Prefecture |
E80334
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Tenryu River |
E396430
|
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: Tenryu River | Statement: [Nagano Prefecture, hasRiver, Tenryu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenryu River Context triple: [Nagano Prefecture, hasRiver, Tenryu River]
-
A.
Tenryu River
chosen
The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
-
B.
Shinano River
The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
-
C.
Okano River
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
-
D.
Mukogawa River
The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
-
E.
Hozu River
The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b217af0819084d8aed695b8377b |
completed | March 14, 2026, 2:05 p.m. |
Created at: March 8, 2026, 2:58 p.m.