Triple
T9415357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Białystok County |
E227003
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Czarna Białostocka
Czarna Białostocka is a small town in north-eastern Poland, situated in the Podlaskie Voivodeship and known for its surrounding forests and proximity to the regional capital Białystok.
|
E799314
|
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: Czarna Białostocka | Statement: [Białystok County, hasUrbanCenter, Czarna Białostocka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czarna Białostocka Context triple: [Białystok County, hasUrbanCenter, Czarna Białostocka]
-
A.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
B.
Biała
Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
-
C.
Krynica Morska
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
-
D.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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: Czarna Białostocka Triple: [Białystok County, hasUrbanCenter, Czarna Białostocka]
Generated description
Czarna Białostocka is a small town in north-eastern Poland, situated in the Podlaskie Voivodeship and known for its surrounding forests and proximity to the regional capital Białystok.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Czarna Białostocka Target entity description: Czarna Białostocka is a small town in north-eastern Poland, situated in the Podlaskie Voivodeship and known for its surrounding forests and proximity to the regional capital Białystok.
-
A.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
B.
Biała
Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
-
C.
Krynica Morska
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
-
D.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11029d3348190baf0dba766c4e960 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d111113c5c81909ff654734b211753 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111ab40a48190bb77c1cf80ef87a8 |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:48 p.m.