Triple
T9371806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella |
E225546
|
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: [Stella, usedInLanguage, Lithuanian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lithuanian Context triple: [Stella, 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.
Latgalian
Latgalian is an Eastern Baltic language variety closely related to Latvian, traditionally spoken by the Latgalian ethnic group in the Latgale region of eastern Latvia.
-
D.
Varaždin Kajkavian
Varaždin Kajkavian is a regional variety of the Kajkavian dialect spoken in and around the city of Varaždin in northern Croatia, characterized by distinctive phonological and lexical features.
-
E.
Latvian
Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f41a6ca4819092bae8640136e964 |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.