Triple
T19033655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilnius County |
E465807
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Širvintos |
—
|
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: Širvintos | Statement: [Vilnius County, hasTown, Širvintos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Širvintos Context triple: [Vilnius County, hasTown, Širvintos]
-
A.
Širvintos
chosen
Širvintos is a small town in eastern Lithuania known as the administrative center of the Širvintos District Municipality.
-
B.
Skuodas
Skuodas is a small historic town in northwestern Lithuania, known as one of the traditional centers of the Samogitian ethnographic region.
-
C.
Šalčininkai
Šalčininkai is a town in southeastern Lithuania known for its multicultural population and location near the Belarusian border.
-
D.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
E.
Surviliškis
Surviliškis is a small town in central Lithuania known for its location along the Nevėžis River and its traditional rural character.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.