Triple
T12864514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yotvingians |
E307681
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sudovia |
E542986
|
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: Sudovia | Statement: [Yotvingians, region, Sudovia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudovia Context triple: [Yotvingians, region, Sudovia]
-
A.
Stranvaesia
Stranvaesia is a genus of flowering shrubs and small trees in the rose family, known for their ornamental foliage and clusters of small white flowers followed by colorful berries.
-
B.
Nordavia
Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
-
C.
Ostland
chosen
Ostland was a historical region in Eastern Europe that roughly encompassed the Baltic states and parts of western Belarus.
-
D.
Wadska
Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
-
E.
Lumnezia
Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:37 p.m.