Triple
T20021713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zduńska Wola |
E494875
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Radviliškis, Lithuania |
—
|
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: Radviliškis, Lithuania | Statement: [Zduńska Wola, hasTwinTown, Radviliškis, Lithuania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radviliškis, Lithuania Context triple: [Zduńska Wola, hasTwinTown, Radviliškis, Lithuania]
-
A.
Radviliškis
chosen
Radviliškis is a town in northern Lithuania known as a regional railway hub and administrative center within Šiauliai County.
-
B.
Vilkaviškis
Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
-
C.
Rokiškis
Rokiškis is a town in northeastern Lithuania known for its well-preserved manor, historic architecture, and role as a regional cultural center.
-
D.
Joniškis
Joniškis is a small town in northern Lithuania known for its historic architecture and cultural heritage, including well-preserved synagogues.
-
E.
Panemunė, Lithuania
Panemunė is a town in southwestern Lithuania situated on the banks of the Neman River, directly across from Sovetsk, Russia, and known as a border crossing point between the two countries.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66288fc18819083833b55c5e069a6 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.