Triple
T19230049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jomsborg |
E480844
|
entity |
| Predicate | mentionedAs |
P26173
|
FINISHED |
| Object | Vineta |
—
|
NE NERFINISHED |
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: Vineta | Statement: [Jomsborg, mentionedAs, Vineta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vineta Context triple: [Jomsborg, mentionedAs, Vineta]
-
A.
Vineta
chosen
Vineta is a legendary medieval Baltic Sea trading city, often associated with the island of Wolin and famed in myth as a wealthy metropolis lost beneath the waves.
-
B.
Grajonca
Grajonca is the original family surname of Wulf Wolodia Grajonca, better known as the American singer and songwriter Bill Graham.
-
C.
Alushta
Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
-
D.
Imotski
Imotski is a small historic town in inland Dalmatia, Croatia, known for its karst landscape and the nearby Blue and Red Lakes.
-
E.
Vravrona
Vravrona is an archaeological and coastal area in eastern Attica, Greece, known for the sanctuary of Artemis and its well-preserved ancient remains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9be0d08190afe6040e0cf9c737 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:25 p.m.