Triple
T9336573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KS Toruń (speedway) |
E224657
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Get Well Toruń
Get Well Toruń was the former sponsored name of the Polish speedway club KS Toruń, a prominent team in the national speedway league.
|
E793806
|
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: Get Well Toruń | Statement: [KS Toruń (speedway), formerName, Get Well Toruń]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Well Toruń Context triple: [KS Toruń (speedway), formerName, Get Well Toruń]
-
A.
Dobre Miasto
Dobre Miasto is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmia region.
-
B.
Białka Tatrzańska
Białka Tatrzańska is a popular mountain village and ski resort in southern Poland, known for its thermal baths and access to the Tatra Mountains.
-
C.
Tuszów Narodowy
Tuszów Narodowy is a village in southeastern Poland best known as the birthplace of General Władysław Sikorski, a prominent Polish military and political leader.
-
D.
Gołąbki
Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
-
E.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
- 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: Get Well Toruń Triple: [KS Toruń (speedway), formerName, Get Well Toruń]
Generated description
Get Well Toruń was the former sponsored name of the Polish speedway club KS Toruń, a prominent team in the national speedway league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Get Well Toruń Target entity description: Get Well Toruń was the former sponsored name of the Polish speedway club KS Toruń, a prominent team in the national speedway league.
-
A.
Dobre Miasto
Dobre Miasto is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmia region.
-
B.
Białka Tatrzańska
Białka Tatrzańska is a popular mountain village and ski resort in southern Poland, known for its thermal baths and access to the Tatra Mountains.
-
C.
Tuszów Narodowy
Tuszów Narodowy is a village in southeastern Poland best known as the birthplace of General Władysław Sikorski, a prominent Polish military and political leader.
-
D.
Gołąbki
Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
-
E.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f161e481908e23c1ec7e5fcf97 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3d8316081908cb9ea36eb069c2d |
completed | April 4, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69d0e57272cc819085a1fd3e356d7c46 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e72c3d088190953a5929f8b861d8 |
completed | April 4, 2026, 10:25 a.m. |
Created at: March 30, 2026, 7:40 p.m.