Triple
T12032959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yawata |
E286457
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Kizu River |
E274275
|
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: Kizu River | Statement: [Yawata, hasRiver, Kizu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kizu River Context triple: [Yawata, hasRiver, 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.
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.
-
C.
Yamakuni River
The Yamakuni River is a significant river in Kyushu, Japan, flowing through Ōita Prefecture and influencing the development and landscape of cities such as Nakatsu.
-
D.
Shizukuishi River
The Shizukuishi River is a river in Iwate Prefecture, Japan, that flows through the city of Morioka and is part of the Kitakami River system.
-
E.
Kyu-Yodo River
The Kyu-Yodo River is a historic waterway in Osaka, Japan, renowned as the main stage for the city’s famous Tenjin Matsuri boat processions and fireworks.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040724ec8190808f334013ddc6d6 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd9495b9748190905b02621939b326 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:47 p.m.