Triple
T16770462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajnówka |
E407578
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Klimavichy |
E958981
|
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: Klimavichy | Statement: [Hajnówka, hasTwinTown, Klimavichy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klimavichy Context triple: [Hajnówka, hasTwinTown, Klimavichy]
-
A.
Klimavichy
chosen
Klimavichy is a small town in eastern Belarus known for its location within the Mogilev Region and its role as a local administrative and cultural center.
-
B.
Klimczok
Klimczok is a prominent mountain peak in southern Poland, located in the Silesian Beskids range and popular for hiking and winter sports.
-
C.
Kühtai
Kühtai is a high-altitude ski resort village in the Austrian Alps known for its winter sports facilities and reliable snow conditions.
-
D.
Olgovichi
Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
-
E.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5361c3881909be0fb9b83a59993 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.