Triple
T22753663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurgita Dronina |
E562775
|
entity |
| Predicate | citizenship |
P2
|
FINISHED |
| Object | 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: Lithuania | Statement: [Jurgita Dronina, citizenship, Lithuania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lithuania Context triple: [Jurgita Dronina, citizenship, Lithuania]
-
A.
Lithuania
chosen
Lithuania is a Baltic nation in Northern Europe known for its medieval history, restored independence from the Soviet Union in 1990, and membership in both the European Union and NATO.
-
B.
Lituénigo
Lituénigo is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
-
C.
I Lituani
I Lituani is an opera by Italian composer Amilcare Ponchielli, inspired by Adam Mickiewicz’s poem "Konrad Wallenrod" and set in medieval Lithuania.
-
D.
Latvia
Latvia is a Baltic nation in Northern Europe known for its historic capital Riga, diverse cultural heritage, and membership in major international organizations such as the European Union and NATO.
-
E.
Dzūkija
Dzūkija is a historical ethnographic region in southeastern Lithuania known for its extensive forests, traditional rural culture, and distinctive dialect.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.