Triple
T8659468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkasy |
E205508
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
FC Dnipro Cherkasy
FC Dnipro Cherkasy is a Ukrainian football club based in the city of Cherkasy that competes in the national league system.
|
E748899
|
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: FC Dnipro Cherkasy | Statement: [Cherkasy, hasSportsTeam, FC Dnipro Cherkasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Dnipro Cherkasy Context triple: [Cherkasy, hasSportsTeam, FC Dnipro Cherkasy]
-
A.
FC Dnipro
FC Dnipro is a Ukrainian professional football club from Dnipro known for its strong domestic performances and notable runs in European competitions, including reaching the 2014–15 UEFA Europa League final.
-
B.
FC Dynamo Kyiv
FC Dynamo Kyiv is a historically successful Ukrainian professional football club renowned for its domestic dominance and strong performances in European competitions.
-
C.
SC Dnipro-1
SC Dnipro-1 is a Ukrainian professional football club based in Dnipro that competes in the country’s top league.
-
D.
BC Dnipro
BC Dnipro is a professional basketball club based in Dnipro, Ukraine, competing in the country’s top basketball league.
-
E.
HC Dynamo Kharkiv
HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
- 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: FC Dnipro Cherkasy Triple: [Cherkasy, hasSportsTeam, FC Dnipro Cherkasy]
Generated description
FC Dnipro Cherkasy is a Ukrainian football club based in the city of Cherkasy that competes in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FC Dnipro Cherkasy Target entity description: FC Dnipro Cherkasy is a Ukrainian football club based in the city of Cherkasy that competes in the national league system.
-
A.
FC Dnipro
FC Dnipro is a Ukrainian professional football club from Dnipro known for its strong domestic performances and notable runs in European competitions, including reaching the 2014–15 UEFA Europa League final.
-
B.
FC Dynamo Kyiv
FC Dynamo Kyiv is a historically successful Ukrainian professional football club renowned for its domestic dominance and strong performances in European competitions.
-
C.
SC Dnipro-1
SC Dnipro-1 is a Ukrainian professional football club based in Dnipro that competes in the country’s top league.
-
D.
BC Dnipro
BC Dnipro is a professional basketball club based in Dnipro, Ukraine, competing in the country’s top basketball league.
-
E.
HC Dynamo Kharkiv
HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccf559c4819089dfb8d6b11de1df |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.