Triple
T16707648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawachi area |
E406012
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Kizu 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: Kizu River | Statement: [Kawachi area, hasWaterBody, Kizu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kizu River Context triple: [Kawachi area, hasWaterBody, Kizu River]
-
A.
Kizu River
chosen
The Kizu River is a significant river in Japan’s Kansai region that flows through Nara and Kyoto Prefectures before joining the Yodo River system.
-
B.
Otakeho River
The Otakeho River is a waterway in the Taranaki region of New Zealand that holds cultural and ancestral significance for the Ngāruahine iwi.
-
C.
Kosuge River
The Kosuge River is a smaller river in Japan that feeds into the larger Tama River within the Kanto region.
-
D.
Kikuchi River
The Kikuchi River is a river in Kumamoto Prefecture on Japan’s Kyushu Island that flows through agricultural plains and urban areas before emptying into the Ariake Sea.
-
E.
Yumesaki River
The Yumesaki River is a waterway in Hyōgo Prefecture, Japan, that flows through the city of Himeji and contributes to its local landscape and ecosystem.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38337ecac8190bc4a9410ed7681ab |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:19 a.m.