Triple
T11805918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E280745
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Kinu River |
E524790
|
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: Kinu River | Statement: [Saitama Prefecture, hasRiver, Kinu River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinu River Context triple: [Saitama Prefecture, hasRiver, Kinu River]
-
A.
Kinu River
chosen
The Kinu River is a significant river in eastern Japan that flows through Tochigi and Ibaraki Prefectures, supporting agriculture and local communities before joining the Tone River system.
-
B.
Shashe River
The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo River.
-
C.
Nyamiha River
The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
-
D.
Kaidu River
The Kaidu River is a significant river in Xinjiang, China, that flows through the Bayinbulak Grassland and feeds Bosten Lake, supporting agriculture and settlements such as the city of Korla.
-
E.
Abukuma River
The Abukuma River is a major river in northeastern Honshu, Japan, flowing through the Tohoku region before emptying into the Pacific Ocean.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 8, 2026, 9:42 p.m.