Triple
T18307527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaunas District Municipality |
E438525
|
entity |
| Predicate | hasNotableSettlement |
P14082
|
FINISHED |
| Object | Čekiškė |
—
|
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: Čekiškė | Statement: [Kaunas District Municipality, hasNotableSettlement, Čekiškė]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čekiškė Context triple: [Kaunas District Municipality, hasNotableSettlement, Čekiškė]
-
A.
Ukmergė
Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
-
B.
Šalčininkai
Šalčininkai is a town in southeastern Lithuania known for its multicultural population and location near the Belarusian border.
-
C.
Kupiškis
Kupiškis is a small town in northeastern Lithuania known for its historical architecture and location within the ethnographic region of Aukštaitija.
-
D.
Vandžiogala
chosen
Vandžiogala is a small town in central Lithuania known for its historical multicultural community and location within the Kaunas region.
-
E.
Kuršėnai
Kuršėnai is a town in northern Lithuania known for its pottery traditions and location along the Venta River.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50215e0c48190a4679d432b6ee596 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:35 a.m.