Triple
T1055429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusyn language |
E22790
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Romania |
E8777
|
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: Romania | Statement: [Rusyn language, spokenIn, Romania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romania Context triple: [Rusyn language, spokenIn, Romania]
-
A.
Romania
chosen
Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
-
B.
Moldova
Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
-
C.
Wallachia
Wallachia is a historical region in southern Romania that played a central role in medieval Eastern European politics and is famously associated with figures like Vlad the Impaler.
-
D.
Hungary
Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
-
E.
Bulgaria
Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4bec4b688190a2fcbff37b3dfe59 |
completed | March 7, 2026, 4:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.