Triple
T22146182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalowa Wola County |
E547293
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Radomyśl nad Sanem
Radomyśl nad Sanem is a village in southeastern Poland situated on the San River, known for its rural character and local administrative role within the Subcarpathian region.
|
E1521453
|
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: Radomyśl nad Sanem | Statement: [Stalowa Wola County, contains, Radomyśl nad Sanem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radomyśl nad Sanem Context triple: [Stalowa Wola County, contains, Radomyśl nad Sanem]
-
A.
Mszana Dolna
Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
-
B.
Młociny
Młociny is a northern Warsaw neighborhood best known as the terminus of the city’s M1 metro line and a major transport hub.
-
C.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
D.
Tarnowskie Góry
Tarnowskie Góry is a historic town in southern Poland renowned for its UNESCO-listed silver, lead, and zinc mining heritage.
-
E.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
- 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: Radomyśl nad Sanem Triple: [Stalowa Wola County, contains, Radomyśl nad Sanem]
Generated description
Radomyśl nad Sanem is a village in southeastern Poland situated on the San River, known for its rural character and local administrative role within the Subcarpathian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radomyśl nad Sanem Target entity description: Radomyśl nad Sanem is a village in southeastern Poland situated on the San River, known for its rural character and local administrative role within the Subcarpathian region.
-
A.
Mszana Dolna
Mszana Dolna is a small town in southern Poland situated in a picturesque valley surrounded by the mountains of the Western Beskids.
-
B.
Młociny
Młociny is a northern Warsaw neighborhood best known as the terminus of the city’s M1 metro line and a major transport hub.
-
C.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
D.
Tarnowskie Góry
Tarnowskie Góry is a historic town in southern Poland renowned for its UNESCO-listed silver, lead, and zinc mining heritage.
-
E.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f097248190a8a3cdff1593b5b5 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9700e2ec819087cfd2c7ef40a01a |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97bd6fe081909a3e609ff2022f82 |
completed | May 18, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9843fb3481908a120dc3ac360124 |
completed | May 18, 2026, 4:40 a.m. |
Created at: April 16, 2026, 8:33 p.m.