Triple
T10085792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefania |
E215216
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Stefaniya |
E215216
|
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: Stefaniya | Statement: [Stefania, isCognateWith, Stefaniya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefaniya Context triple: [Stefania, isCognateWith, Stefaniya]
-
A.
Stepanova
Stepanova is a Russian surname most notably associated with avant-garde artist and designer Varvara Stepanova, a key figure in the Constructivist movement.
-
B.
Ksenia
Ksenia is a feminine given name, commonly used in Slavic countries and derived from the Greek name Xenia, meaning "hospitality" or "guest-friendship."
-
C.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
D.
Stefania
chosen
Stefania is a feminine given name of Italian origin, commonly used in Italy and other European countries.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b68b4dbc8190b0ada78fb29feffd |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.