Triple
T14579876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariake Sea |
E342161
|
entity |
| Predicate | receivesRiver |
P4359
|
FINISHED |
| Object | Chikugo 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: Chikugo River | Statement: [Ariake Sea, receivesRiver, Chikugo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chikugo River Context triple: [Ariake Sea, receivesRiver, Chikugo River]
-
A.
Chikugo River
chosen
The Chikugo River is one of Kyushu’s longest and most important rivers, supporting agriculture, industry, and communities across western Japan.
-
B.
Kokubu River
Kokubu River is a river located in Kōchi Prefecture on the island of Shikoku in Japan.
-
C.
Kumagawa River
Kumagawa River is a major river in Japan’s Kyushu region known for its fast currents, scenic gorges, and frequent flooding.
-
D.
Urakami River
The Urakami River is a river in Nagasaki, Japan, flowing through the Urakami district that was devastated by the 1945 atomic bombing.
-
E.
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.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f6f78c81908a30ecb4c025299d |
completed | April 14, 2026, 9:39 p.m. |
Created at: April 10, 2026, 1:24 a.m.