Triple
T21712836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ČEZ Aréna Ostrava |
E535946
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | ČEZ Group |
—
|
NE NERFINISHED |
How this triple was built (2 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: ČEZ Group | Statement: [ČEZ Aréna Ostrava, sponsor, ČEZ Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ČEZ Group Context triple: [ČEZ Aréna Ostrava, sponsor, ČEZ Group]
-
A.
ČEZ Group
chosen
ČEZ Group is a major Czech energy conglomerate and one of Central Europe’s largest electricity producers, operating power plants, distribution networks, and related energy services.
-
B.
Slovenské elektrárne
Slovenské elektrárne is Slovakia’s largest electricity producer, operating major hydroelectric and nuclear power plants across the country.
-
C.
Tractebel Energia
Tractebel Energia is a Brazilian electric power generation company known for operating large hydroelectric facilities and other energy assets across the country.
-
D.
Eurelectric
Eurelectric is the pan-European industry association representing the interests of the electricity sector and power companies across Europe.
-
E.
Enel
Enel is a multinational Italian energy company that generates and distributes electricity and gas across Europe and Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.