Triple
T15479929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamogawa |
E376888
|
entity |
| Predicate | hasConfluenceWith |
P2416
|
FINISHED |
| Object | Takano 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: Takano River | Statement: [Kamogawa, hasConfluenceWith, Takano River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takano River Context triple: [Kamogawa, hasConfluenceWith, Takano River]
-
A.
Takano River
chosen
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.
-
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.
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.
-
D.
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.
-
E.
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.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
Created at: April 10, 2026, 3:34 a.m.