Triple
T4069325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euromaidan |
E86604
|
entity |
| Predicate | mediaCoverageLanguage |
P28304
|
FINISHED |
| Object | Ukrainian |
—
|
LITERAL FINISHED |
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: Ukrainian | Statement: [Euromaidan, mediaCoverageLanguage, Ukrainian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaCoverageLanguage Context triple: [Euromaidan, mediaCoverageLanguage, Ukrainian]
-
A.
mediaLanguage
chosen
Indicates the language in which a media item (such as a film, broadcast, or publication) is originally produced or presented.
-
B.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
C.
mediaCoverageAs
Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
-
D.
mediaCoverageControversy
Indicates that media coverage is associated with, contributes to, or centers around a controversy involving the related entities.
-
E.
mediaCovered
Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
- F. None of above.
Provenance (3 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbfa45c88190b7b13b35de816378 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.