Triple
T9919694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizuoka |
E185961
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Warashina River |
E765886
|
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: Warashina River | Statement: [Shizuoka, locatedOnRiver, Warashina River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warashina River Context triple: [Shizuoka, locatedOnRiver, Warashina River]
-
A.
Warashina River
chosen
Warashina River is a regional river in Shizuoka Prefecture, Japan, that flows through Shizuoka City and contributes to its local watershed and landscape.
-
B.
Watarase River
The Watarase River is a significant river in Japan’s Kantō region, known for flowing through Gunma, Tochigi, Saitama, and Ibaraki Prefectures and contributing to the Tone River system.
-
C.
Shirinashi River
Shirinashi River is a small urban waterway flowing through Naniwa-ku in Osaka, Japan.
-
D.
Takkaze River
The Takkaze River is a major river in the Horn of Africa that flows through the Ethiopian and Eritrean highlands, forming part of the border between the two countries before joining the Atbarah River.
-
E.
Dokawa River
Dokawa River is a river flowing through the city of Fukuchiyama in Kyoto Prefecture, Japan.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5699bc48190961e036d1131fef0 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:42 p.m.