Triple
T17600098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagmária |
E428671
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Dagmara |
—
|
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: Dagmara | Statement: [Dagmária, relatedName, Dagmara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagmara Context triple: [Dagmária, relatedName, Dagmara]
-
A.
Dagmara
chosen
Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
-
B.
Dorota
Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
-
C.
Katarzyna
Katarzyna is a common Polish female given name, equivalent to Catherine in English.
-
D.
Józefina
Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
-
E.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.