Triple
T18576268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ales Bialiatski |
E453995
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bialiatski |
—
|
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: Bialiatski | Statement: [Ales Bialiatski, familyName, Bialiatski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bialiatski Context triple: [Ales Bialiatski, familyName, Bialiatski]
-
A.
Bialiatski
chosen
Bialiatski is the surname of Ales Bialiatski, a prominent Belarusian human rights activist and Nobel Peace Prize laureate.
-
B.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
C.
Matorf
Matorf is a district or locality within the town of Lemgo in the German state of North Rhine-Westphalia.
-
D.
Horodok
Horodok is a small town in western Ukraine known for its historical roots and location within the Khmelnytskyi region.
-
E.
Slonim
Slonim is a historic town in western Belarus known for its centuries-old role as a regional cultural and trading center.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c9d26c8190a80dda411cd0c9ac |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.