Triple
T14762105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōtō, Tokyo, Japan |
E346890
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Onagi 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: Onagi River | Statement: [Kōtō, Tokyo, Japan, containsRiver, Onagi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onagi River Context triple: [Kōtō, Tokyo, Japan, containsRiver, Onagi River]
-
A.
Onagi River
chosen
The Onagi River is a canal-like waterway in eastern Tokyo, Japan, known for running through urban districts such as Kōtō and connecting parts of the city’s river network.
-
B.
Tsuboi River
Tsuboi River is a river flowing through Kumamoto in Japan’s Kyushu region, known for its role in the city’s landscape and local water management.
-
C.
Misasa River
Misasa River is a Japanese river known as a tributary of the Ōta River in Hiroshima Prefecture.
-
D.
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.
-
E.
Takahashi River
The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.