Triple
T10069491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akabane Station |
E213582
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Arakawa River |
E249387
|
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: Arakawa River | Statement: [Akabane Station, hasNearbyRiver, Arakawa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arakawa River Context triple: [Akabane Station, hasNearbyRiver, Arakawa River]
-
A.
Arakawa River
chosen
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.
-
B.
Usui River
The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
-
C.
Kamogawa River
The Kamogawa River is a prominent river flowing through Kyoto, Japan, known for its scenic banks lined with traditional teahouses, restaurants, and popular walking paths.
-
D.
Asahi River
The Asahi River is a major river in western Japan that flows through Okayama Prefecture before emptying into the Seto Inland Sea.
-
E.
Yamato River
The Yamato River is a major river in Japan’s Kansai region that flows through Nara and Osaka Prefectures before emptying into Osaka Bay.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4415b7f848190a9fc8b08824f0b9b |
completed | April 19, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:58 p.m.