Triple
T12895543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojō, Nara Prefecture |
E308482
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Yoshino River |
E119132
|
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: Yoshino River | Statement: [Gojō, Nara Prefecture, locatedOnRiver, Yoshino River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoshino River Context triple: [Gojō, Nara Prefecture, locatedOnRiver, Yoshino River]
-
A.
Yoshino River
chosen
The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
-
B.
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.
-
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.
Tokachi River
The Tokachi River is a major river in Hokkaido, Japan, known for flowing through the Tokachi Plain and supporting regional agriculture and settlements.
-
E.
Shakujii River
Shakujii River is a tributary of the Arakawa River flowing through western and northern Tokyo, known for its urban green corridors and riverside parks.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077201c08190a0c3bb259856d5c9 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 9, 2026, 5:40 p.m.