Triple
T4144328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Lithuania |
E89346
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Jonava |
E414338
|
NE FINISHED |
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: Jonava | Statement: [Central Lithuania, hasMajorCity, Jonava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonava Context triple: [Central Lithuania, hasMajorCity, Jonava]
-
A.
Jonava
chosen
Jonava is a Lithuanian industrial town and regional center situated along the Neris River in central Lithuania.
-
B.
Vasai
Vasai is a historic coastal town in western India, near Mumbai, known for its strategic importance under Portuguese and later British rule and as the site of the 1802 Treaty of Bassein.
-
C.
Švenčionys
Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
-
D.
Klaipėda
Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
-
E.
Elektrėnai
Elektrėnai is a Lithuanian town best known for its major thermal power plant and artificial reservoir, which have made it an important energy and recreational center in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025d2984819095f299327cc399d5 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db72503c81909e9cf69f23d093fc |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 9, 2026, 3:43 p.m.