Triple
T13468599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radom Voivodeship |
E311569
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Białobrzegi
Białobrzegi is a small town in east-central Poland, known as the seat of Białobrzegi County in the Masovian region.
|
E1260043
|
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: Białobrzegi | Statement: [Radom Voivodeship, containsCity, Białobrzegi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Białobrzegi Context triple: [Radom Voivodeship, containsCity, Białobrzegi]
-
A.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
B.
Braniewo
Braniewo is a historic town in northern Poland near the Baltic coast, known as one of the oldest urban centers in the Warmia region.
-
C.
Bielany
Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
-
D.
Zembrzyce
Zembrzyce is a village in southern Poland that serves as the local administrative and cultural hub of its surrounding rural area.
-
E.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
- 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: Białobrzegi Triple: [Radom Voivodeship, containsCity, Białobrzegi]
Generated description
Białobrzegi is a small town in east-central Poland, known as the seat of Białobrzegi County in the Masovian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Białobrzegi Target entity description: Białobrzegi is a small town in east-central Poland, known as the seat of Białobrzegi County in the Masovian region.
-
A.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
B.
Braniewo
Braniewo is a historic town in northern Poland near the Baltic coast, known as one of the oldest urban centers in the Warmia region.
-
C.
Bielany
Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
-
D.
Zembrzyce
Zembrzyce is a village in southern Poland that serves as the local administrative and cultural hub of its surrounding rural area.
-
E.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01792dc0b08190a0871959ce752313 |
completed | May 11, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a0179f16af481909f409adb5367f021 |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017ad8480881909ca9a9982585b08d |
completed | May 11, 2026, 6:44 a.m. |
Created at: April 9, 2026, 9:42 p.m.