Triple
T9412413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikalojus Konstantinas Čiurlionis |
E226735
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Varėna
Varėna is a town in southeastern Lithuania known as the birthplace of the renowned composer and painter Mikalojus Konstantinas Čiurlionis.
|
E797413
|
NE FINISHED |
How this triple was built (4 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: Varėna | Statement: [Mikalojus Konstantinas Čiurlionis, placeOfBirth, Varėna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varėna Context triple: [Mikalojus Konstantinas Čiurlionis, placeOfBirth, Varėna]
-
A.
Varykino
Varykino is the remote country estate in Boris Pasternak's novel "Doctor Zhivago" where key emotional and dramatic events in Yuri Zhivago's life unfold.
-
B.
Vääna
Vääna is a village in northern Estonia known for its historic manor and coastal location near the capital, Tallinn.
-
C.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Vardenis
Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Varėna Triple: [Mikalojus Konstantinas Čiurlionis, placeOfBirth, Varėna]
Generated description
Varėna is a town in southeastern Lithuania known as the birthplace of the renowned composer and painter Mikalojus Konstantinas Čiurlionis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varėna Target entity description: Varėna is a town in southeastern Lithuania known as the birthplace of the renowned composer and painter Mikalojus Konstantinas Čiurlionis.
-
A.
Varykino
Varykino is the remote country estate in Boris Pasternak's novel "Doctor Zhivago" where key emotional and dramatic events in Yuri Zhivago's life unfold.
-
B.
Vääna
Vääna is a village in northern Estonia known for its historic manor and coastal location near the capital, Tallinn.
-
C.
Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Vardenis
Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
- F. None of above. chosen
Provenance (5 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5258f7e081908d48600409181fdb |
completed | April 1, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b0f9648190894a4cd13d7e5fb5 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.