Triple
T8947905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berezina |
E213267
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Svislach River |
E297583
|
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: Svislach River | Statement: [Berezina, hasTributary, Svislach River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svislach River Context triple: [Berezina, hasTributary, Svislach River]
-
A.
Svislach River
chosen
The Svislach River is a major waterway in Belarus that flows through the capital city of Minsk and plays an important role in its landscape and history.
-
B.
Treklyanska River
The Treklyanska River is a smaller watercourse in the Balkans that feeds into Bulgaria’s Struma River, contributing to its upper drainage basin.
-
C.
Sviyaga River
The Sviyaga River is a tributary of the Volga River in western Russia, flowing through regions such as Ulyanovsk Oblast and Tatarstan.
-
D.
Syniukha River
The Syniukha River is a river in central Ukraine that serves as a significant right-bank tributary of the Southern Bug, flowing through the Kirovohrad and Mykolaiv regions.
-
E.
Litava River
The Litava River is a watercourse in the South Moravian Region of the Czech Republic that flows through towns such as Slavkov u Brna before joining larger river systems.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66deb8ec819087a9c5eddd24c08a |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0773aee148190ad4da1b91271e48c |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 6:59 p.m.