Triple
T19827927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borisov |
E476376
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Barysaw |
—
|
NE NERFINISHED |
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: Barysaw | Statement: [Borisov, hasAlternativeName, Barysaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barysaw Context triple: [Borisov, hasAlternativeName, Barysaw]
-
A.
Barysaw
chosen
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
-
B.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
C.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
D.
Bytnar
Bytnar is a Polish surname most notably associated with Jan Bytnar, a young resistance fighter and national hero during World War II.
-
E.
Braslaw
Braslaw is a small town in northern Belarus known for its picturesque lakes and status as a popular regional tourist destination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.