Triple
T17646391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morioka Domain |
E429368
|
entity |
| Predicate | mainRiver |
P165
|
FINISHED |
| Object | Nakatsu River |
—
|
NE NERFINISHED |
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: Nakatsu River | Statement: [Morioka Domain, mainRiver, Nakatsu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakatsu River Context triple: [Morioka Domain, mainRiver, Nakatsu River]
-
A.
Nakatsu River
chosen
The Nakatsu River is a river in Japan that flows through the city of Morioka in Iwate Prefecture, contributing to the region’s natural landscape and waterways.
-
B.
Asakawa River
Asakawa River is a river in Tokyo, Japan, that flows through the city of Hachiōji and serves as a local natural and recreational area.
-
C.
Inagawa River
The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
-
D.
Takano River
The Takano River is a river in Kyoto, Japan, known for flowing through the northern part of the city and meeting the Kamo River near the historic Shimogamo Shrine.
-
E.
Toyokawa River
The Toyokawa River is a significant waterway in Aichi Prefecture, Japan, known for flowing through cities such as Toyohashi and supporting local agriculture and ecosystems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e39937881909bb6a1792fff39a9 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.