Triple
T10153395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyumen |
E232706
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Tura River |
E754166
|
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: Tura River | Statement: [Tyumen, locatedOn, Tura River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tura River Context triple: [Tyumen, locatedOn, Tura River]
-
A.
Tura River
chosen
The Tura River is a significant waterway in western Siberia, Russia, flowing through the Ural region and serving as an important tributary of the Tobol River.
-
B.
Tamnava River
The Tamnava River is a river in western Serbia that flows through the Kolubara region, including the municipality of Lazarevac, and is a tributary of the Kolubara River.
-
C.
Sura River
The Sura River is a significant river in western Russia that flows through the Volga Upland and several regions before joining the Volga River.
-
D.
Turia River
The Turia River is a major river in eastern Spain that flows through the city of Valencia and has significantly shaped its history, landscape, and urban development.
-
E.
Surma River
The Surma River is a major transboundary river flowing through northeastern India and Bangladesh, known for its role in the Meghna river system and the Sylhet region’s ecology and economy.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec376cd48190990862c56c3a4dce |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
Created at: March 30, 2026, 9:08 p.m.