Triple
T15474238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nara Canal |
E376742
|
entity |
| Predicate | historicalAssociation |
P1481
|
FINISHED |
| Object | Nara 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: Nara River | Statement: [Nara Canal, historicalAssociation, Nara River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nara River Context triple: [Nara Canal, historicalAssociation, Nara River]
-
A.
Nara River
chosen
The Nara River is a waterway in western Russia that flows through the Moscow region, including the town of Serpukhov, before joining the Oka River.
-
B.
Mukogawa River
The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
-
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.
Jinzū River
The Jinzū River is a prominent river in central Japan that flows through Gifu and Toyama Prefectures before emptying into the Sea of Japan.
-
E.
Hozu River
The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama area.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
Created at: April 10, 2026, 3:34 a.m.