Triple
T8089696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryōgoku |
E188824
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sumida River |
E221620
|
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: Sumida River | Statement: [Ryōgoku, locatedNear, Sumida River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumida River Context triple: [Ryōgoku, locatedNear, Sumida River]
-
A.
Sumida River
chosen
The Sumida River is a historically significant river flowing through central Tokyo, known for its scenic bridges, cherry blossoms, and cultural prominence in Japanese art and literature.
-
B.
Nihonbashi River
The Nihonbashi River is a historic urban waterway in central Tokyo that has long served as an important commercial and transportation artery for the city.
-
C.
Meguro River
The Meguro River is a well-known urban river in Tokyo, Japan, famous for its picturesque cherry blossom-lined banks that attract many visitors during spring.
-
D.
Minamishinagawa
Minamishinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its mix of residential streets, local shops, and proximity to major transport hubs.
-
E.
Arakawa River
The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd947cf7a881908b45cf262887da86 |
completed | April 1, 2026, 9:56 p.m. |
Created at: March 30, 2026, 5:29 p.m.