Triple
T17265591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watarase River |
E419117
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Watarase-gawa (romanized Japanese) |
E419117
|
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: Watarase-gawa (romanized Japanese) | Statement: [Watarase River, hasNameInLanguage, Watarase-gawa (romanized Japanese)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watarase-gawa (romanized Japanese) Context triple: [Watarase River, hasNameInLanguage, Watarase-gawa (romanized Japanese)]
-
A.
Seta-gawa
Seta-gawa is a river in Japan that flows out of Lake Biwa through the city of Ōtsu in Shiga Prefecture.
-
B.
Watarase River
chosen
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.
Kisogawa
Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
-
D.
Ayagawa
Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
-
E.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f44ec7c81909a925fc8692b0a6c |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794641648190a5db87ecb359c17a |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:40 a.m.