Triple
T21380144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prostějov |
E527327
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bardejov |
—
|
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: Bardejov | Statement: [Prostějov, hasTwinTown, Bardejov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardejov Context triple: [Prostějov, hasTwinTown, Bardejov]
-
A.
Bardejov
chosen
Bardejov is a historic town in northeastern Slovakia renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
-
B.
Karlovy Vary
Karlovy Vary is a renowned spa town in the western Czech Republic, famous for its hot springs, grand colonnades, and international film festival.
-
C.
Pamporovo
Pamporovo is a popular Bulgarian ski resort town known for its sunny weather, gentle slopes, and location in the scenic Rhodope Mountains.
-
D.
Krnov
Krnov is a historic town in the Moravian-Silesian Region of the Czech Republic, known for its medieval heritage and former status as the seat of the Duchy of Jägerndorf.
-
E.
Jablunkov
Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian heritage.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.