Triple
T9638237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umeå |
E232990
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Ume River |
E246381
|
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: Ume River | Statement: [Umeå, locatedOnRiver, Ume River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ume River Context triple: [Umeå, locatedOnRiver, Ume River]
-
A.
Ume River
chosen
The Ume River is a significant river in northern Sweden that flows through Västerbotten County and the city of Umeå before emptying into the Gulf of Bothnia.
-
B.
Tenryu River
The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
-
C.
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.
-
D.
Kumagawa River
Kumagawa River is a major river in Japan’s Kyushu region known for its fast currents, scenic gorges, and frequent flooding.
-
E.
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.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b51b08081908e30744607b28953 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98801deb8819092a45193078f09b4 |
completed | April 10, 2026, 11:30 p.m. |
Created at: March 30, 2026, 8:11 p.m.