Triple
T2039018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koltsevaya Line |
E44698
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Belorusskaya |
E222039
|
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: Belorusskaya | Statement: [Koltsevaya Line, hasStation, Belorusskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belorusskaya Context triple: [Koltsevaya Line, hasStation, Belorusskaya]
-
A.
Belorusskaya
chosen
Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
-
B.
Belarus
Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
-
C.
Zbruch
Zbruch is a river in western Ukraine that flows through the Podolia region and is known for the discovery of the Zbruch Idol, a famous Slavic pagan stone sculpture.
-
D.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
-
E.
Yèvre
Yèvre is a river in central France that flows through the Cher department and serves as one of its notable waterways.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb951870481909dbdd8fc8b0c02fe |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff63de081908795a95c998dd9ac |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:39 p.m.