Triple
T11512827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian general elections |
E272955
|
entity |
| Predicate | mediaCoverageRegulatedBy |
P72755
|
FINISHED |
| Object | par condicio rules |
—
|
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: par condicio rules | Statement: [Italian general elections, mediaCoverageRegulatedBy, par condicio rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaCoverageRegulatedBy Context triple: [Italian general elections, mediaCoverageRegulatedBy, par condicio rules]
-
A.
mediaCoverageAs
Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
-
B.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
C.
mediaCoverageFocus
Indicates the primary topic, subject, or aspect that media coverage is centered on or emphasizes.
-
D.
mediaCoverageContext
chosen
Indicates the situational background, circumstances, or framing within which media coverage of an entity, event, or issue takes place.
-
E.
mediaCoverageControversy
Indicates that media coverage is associated with, contributes to, or centers around a controversy involving the related entities.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.