Triple
T5993103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 2012 |
E133398
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Slavek and Slavko
Slavek and Slavko are the twin cartoon footballer mascots created to represent and promote the UEFA Euro 2012 tournament co-hosted by Poland and Ukraine.
|
E562042
|
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: Slavek and Slavko | Statement: [UEFA Euro 2012, mascot, Slavek and Slavko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slavek and Slavko Context triple: [UEFA Euro 2012, mascot, Slavek and Slavko]
-
A.
Havlíček
Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
-
B.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
-
C.
Miroslav
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
-
D.
Lubomir
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
-
E.
Štěpán
Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
- 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: Slavek and Slavko Triple: [UEFA Euro 2012, mascot, Slavek and Slavko]
Generated description
Slavek and Slavko are the twin cartoon footballer mascots created to represent and promote the UEFA Euro 2012 tournament co-hosted by Poland and Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slavek and Slavko Target entity description: Slavek and Slavko are the twin cartoon footballer mascots created to represent and promote the UEFA Euro 2012 tournament co-hosted by Poland and Ukraine.
-
A.
Havlíček
Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
-
B.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
-
C.
Miroslav
Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
-
D.
Lubomir
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
-
E.
Štěpán
Štěpán is the Czech given name corresponding to the Hungarian name István, itself equivalent to Stephen in English.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10a15b9e08190be8b559e467d1d8c |
completed | March 23, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10aaf299481909d0e824a126381e3 |
completed | March 23, 2026, 9:41 a.m. |
Created at: March 22, 2026, 4:05 p.m.