Triple
T7381170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie |
E170253
|
entity |
| Predicate | orthographicVariant |
P33995
|
FINISHED |
| Object |
Sylvi (in some Nordic contexts)
Sylvi is a Nordic given name, often considered a regional spelling variant of the name Sylvie.
|
E659635
|
NE FINISHED |
How this triple was built (4 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: Sylvi (in some Nordic contexts) | Statement: [Sylvie, orthographicVariant, Sylvi (in some Nordic contexts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvi (in some Nordic contexts) Context triple: [Sylvie, orthographicVariant, Sylvi (in some Nordic contexts)]
-
A.
Marta (Scandinavian languages)
Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
-
B.
Sille
Sille is a historic village near Konya in central Turkey, known for its ancient rock-cut architecture and long-standing Greek Orthodox and Turkish cultural heritage.
-
C.
Southern Ume Sami
Southern Ume Sami is a regional variety of the Ume Sami language traditionally spoken by Sámi communities in parts of northern Sweden.
-
D.
Vibeke
Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
-
E.
Lule Sámi
Lule Sámi is a Uralic, Indigenous Sámi language spoken primarily in northern Sweden and Norway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sylvi (in some Nordic contexts) Triple: [Sylvie, orthographicVariant, Sylvi (in some Nordic contexts)]
Generated description
Sylvi is a Nordic given name, often considered a regional spelling variant of the name Sylvie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sylvi (in some Nordic contexts) Target entity description: Sylvi is a Nordic given name, often considered a regional spelling variant of the name Sylvie.
-
A.
Marta (Scandinavian languages)
Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
-
B.
Sille
Sille is a historic village near Konya in central Turkey, known for its ancient rock-cut architecture and long-standing Greek Orthodox and Turkish cultural heritage.
-
C.
Southern Ume Sami
Southern Ume Sami is a regional variety of the Ume Sami language traditionally spoken by Sámi communities in parts of northern Sweden.
-
D.
Vibeke
Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
-
E.
Lule Sámi
Lule Sámi is a Uralic, Indigenous Sámi language spoken primarily in northern Sweden and Norway.
- F. None of above. chosen
Provenance (5 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c7b5bc81908afa2bf39159979b |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8038f9d5881908121776322a66e66 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803fc447c8190b1d16b47c90f982b |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.