Triple
T4400856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva |
E93610
|
entity |
| Predicate | usedInLanguage |
P907
|
FINISHED |
| Object | Lithuanian |
E28856
|
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: Lithuanian | Statement: [Eva, usedInLanguage, Lithuanian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lithuanian Context triple: [Eva, usedInLanguage, Lithuanian]
-
A.
Lithuanian
chosen
Lithuanian is a Baltic language spoken primarily in Lithuania and known for preserving many archaic features of Proto-Indo-European.
-
B.
Lithuanians
Lithuanians are a Baltic ethnic group native to Lithuania, known for their distinct Indo-European language and cultural heritage in northeastern Europe.
-
C.
Latvian
Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
-
D.
Aukštaitija
Aukštaitija is a historical and ethnographic region in northeastern Lithuania known for its lakes, forests, and strong preservation of traditional Lithuanian culture and dialects.
-
E.
Lithuania
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.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5f788d081909406a938337bd05a |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:28 p.m.