Triple
T12052460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dąbrowski |
E286950
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object |
Dąbrowscy
Dąbrowscy is the Polish plural surname form referring collectively to members of the Dąbrowski family.
|
E967308
|
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: Dąbrowscy | Statement: [Dąbrowski, hasPluralForm, Dąbrowscy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dąbrowscy Context triple: [Dąbrowski, hasPluralForm, Dąbrowscy]
-
A.
Muranów
Muranów is a central Warsaw neighborhood known for its postwar reconstruction, historical Jewish heritage, and proximity to major transport hubs and cultural institutions.
-
B.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
C.
Wolyniec
Wolyniec is a Polish-origin surname most notably associated with American soccer player and coach John Wolyniec.
-
D.
Jeziorański
Jeziorański is a Polish surname most notably borne by Jan Nowak-Jeziorański, a famed World War II courier and later influential journalist and politician.
-
E.
Goleniów
Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
- 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: Dąbrowscy Triple: [Dąbrowski, hasPluralForm, Dąbrowscy]
Generated description
Dąbrowscy is the Polish plural surname form referring collectively to members of the Dąbrowski family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dąbrowscy Target entity description: Dąbrowscy is the Polish plural surname form referring collectively to members of the Dąbrowski family.
-
A.
Muranów
Muranów is a central Warsaw neighborhood known for its postwar reconstruction, historical Jewish heritage, and proximity to major transport hubs and cultural institutions.
-
B.
Zbyszko
Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
-
C.
Wolyniec
Wolyniec is a Polish-origin surname most notably associated with American soccer player and coach John Wolyniec.
-
D.
Jeziorański
Jeziorański is a Polish surname most notably borne by Jan Nowak-Jeziorański, a famed World War II courier and later influential journalist and politician.
-
E.
Goleniów
Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90423b22081908fba82fbc6b40eb5 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:47 p.m.