Triple
T16784732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakub Sobieski |
E407941
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Sobieszyn
Sobieszyn is a village in eastern Poland, historically notable as the birthplace of nobleman Jakub Sobieski.
|
E1452358
|
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: Sobieszyn | Statement: [Jakub Sobieski, birthPlace, Sobieszyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sobieszyn Context triple: [Jakub Sobieski, birthPlace, Sobieszyn]
-
A.
Sobieszów
Sobieszów is a district of the city of Jelenia Góra in southwestern Poland, known for its proximity to the Karkonosze Mountains and the historic Chojnik Castle.
-
B.
Szczebrzeszyn
Szczebrzeszyn is a small historic town in eastern Poland, known for its picturesque setting in the Roztocze region and its famous tongue-twister in the Polish language.
-
C.
Dobczyce
Dobczyce is a small historic town in southern Poland, known for its medieval castle and picturesque setting by the Raba River and Dobczyce Lake.
-
D.
Szydłowiec
Szydłowiec is a historic town in central Poland known for its well-preserved Renaissance architecture and traditional sandstone quarrying.
-
E.
Siewierz
Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
- 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: Sobieszyn Triple: [Jakub Sobieski, birthPlace, Sobieszyn]
Generated description
Sobieszyn is a village in eastern Poland, historically notable as the birthplace of nobleman Jakub Sobieski.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sobieszyn Target entity description: Sobieszyn is a village in eastern Poland, historically notable as the birthplace of nobleman Jakub Sobieski.
-
A.
Sobieszów
Sobieszów is a district of the city of Jelenia Góra in southwestern Poland, known for its proximity to the Karkonosze Mountains and the historic Chojnik Castle.
-
B.
Szczebrzeszyn
Szczebrzeszyn is a small historic town in eastern Poland, known for its picturesque setting in the Roztocze region and its famous tongue-twister in the Polish language.
-
C.
Dobczyce
Dobczyce is a small historic town in southern Poland, known for its medieval castle and picturesque setting by the Raba River and Dobczyce Lake.
-
D.
Szydłowiec
Szydłowiec is a historic town in central Poland known for its well-preserved Renaissance architecture and traditional sandstone quarrying.
-
E.
Siewierz
Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21996cc81909deb88545af7079f |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0900574d988190bd635ebb22c54357 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0901a0dac081909f9184e99a70419a |
completed | May 16, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09023cf27081908eb246367215ae12 |
completed | May 16, 2026, 11:48 p.m. |
Created at: April 10, 2026, 5:22 a.m.