Triple
T457366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovari |
E7261
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Transylvania |
E72198
|
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: Transylvania | Statement: [Lovari, spokenIn, Transylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transylvania Context triple: [Lovari, spokenIn, Transylvania]
-
A.
Transylvania
chosen
Transylvania is a historical region in central Romania, famed for its medieval castles, fortified churches, and association with the Dracula legend.
-
B.
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.
-
C.
Romania
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.
-
D.
Bohemia
Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
-
E.
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.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa1616481909399f92551a0c9e3 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5103417008190ab3755dbba5f7622 |
completed | March 2, 2026, 4:21 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.