Triple
T2685678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podlasie |
E57478
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bielsk Podlaski
Bielsk Podlaski is a historic town in northeastern Poland known for its multicultural heritage and location within the Podlasie region.
|
E440361
|
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: Bielsk Podlaski | Statement: [Podlasie, contains, Bielsk Podlaski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bielsk Podlaski Context triple: [Podlasie, contains, Bielsk Podlaski]
-
A.
Biała Podlaska
Biała Podlaska is a city in eastern Poland near the Belarusian border, known as a local economic and cultural center of the Lublin Voivodeship.
-
B.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
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.
-
E.
Bartoszyce
Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
- 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: Bielsk Podlaski Triple: [Podlasie, contains, Bielsk Podlaski]
Generated description
Bielsk Podlaski is a historic town in northeastern Poland known for its multicultural heritage and location within the Podlasie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bielsk Podlaski Target entity description: Bielsk Podlaski is a historic town in northeastern Poland known for its multicultural heritage and location within the Podlasie region.
-
A.
Biała Podlaska
Biała Podlaska is a city in eastern Poland near the Belarusian border, known as a local economic and cultural center of the Lublin Voivodeship.
-
B.
Pałuki
Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
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.
-
E.
Bartoszyce
Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6130aaa7081908956e2db62005b92 |
completed | March 15, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69b613f0d5dc8190a48e60c63ea9d717 |
completed | March 15, 2026, 2:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b617f70f608190bce1043c2254c9e5 |
completed | March 15, 2026, 2:22 a.m. |
Created at: March 6, 2026, 9:54 p.m.