Triple
T19096211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabrowski |
E467411
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Dąbrowscy |
—
|
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: Dąbrowscy | Statement: [Dabrowski, hasPluralForm, Dąbrowscy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dąbrowscy Context triple: [Dabrowski, hasPluralForm, Dąbrowscy]
-
A.
Dąbrowscy
chosen
Dąbrowscy is the Polish plural surname form referring collectively to members of the Dąbrowski family.
-
B.
Dąbrowska
Dąbrowska is the feminine form of the Polish surname Dąbrowski, commonly borne by women in Poland and among Polish communities worldwide.
-
C.
Wdowiński
Wdowiński is a Polish surname most notably borne by Dawid Wdowiński, a Jewish-Polish neurologist and Zionist activist involved in the Warsaw Ghetto resistance.
-
D.
Muranów
Muranów is a central Warsaw neighborhood known for its postwar reconstruction, historical Jewish heritage, and proximity to major transport hubs and cultural institutions.
-
E.
Jabłoński
Jabłoński is a Polish surname borne by numerous notable figures in fields such as politics, science, and the arts.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.