Triple
T14950997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese cruiser Suzuya |
E372792
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Suzuya 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: Suzuya River | Statement: [Japanese cruiser Suzuya, namedAfter, Suzuya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzuya River Context triple: [Japanese cruiser Suzuya, namedAfter, Suzuya River]
-
A.
Suzuya River
chosen
Suzuya River is a river in Japan known primarily as the namesake of the Imperial Japanese Navy cruiser Suzuya.
-
B.
Shukugawa River
The Shukugawa River is a scenic river in Hyōgo Prefecture, Japan, famed for its cherry blossom-lined banks that attract many visitors during hanami season.
-
C.
Yoshida River
The Yoshida River is a significant waterway flowing through Japan’s Miyagi Prefecture, contributing to the region’s natural landscape and local ecosystems.
-
D.
Inagawa River
The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
-
E.
Tsuboi River
Tsuboi River is a river flowing through Kumamoto in Japan’s Kyushu region, known for its role in the city’s landscape and local water management.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
Created at: April 10, 2026, 2:39 a.m.