Triple
T28848956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EBEL |
E728533
|
entity |
| Predicate | primaryMediaCoverageCountry |
P199970
|
FINISHED |
| Object | Austria |
—
|
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: Austria | Statement: [EBEL, primaryMediaCoverageCountry, Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMediaCoverageCountry Context triple: [EBEL, primaryMediaCoverageCountry, Austria]
-
A.
hasMediaCoverageInCountry
chosen
Indicates that an entity receives media coverage or is reported on within a specified country.
-
B.
mediaCoverageRegion
Indicates the geographic area or region within which a particular piece of media or media outlet provides coverage or is intended to reach.
-
C.
hasLocalMediaCoverageFrom
Indicates that an entity has been reported on or featured by a specified local media outlet or source.
-
D.
mediaCoverage
Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
-
E.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a0082989e6c819099fea0e706332e37 |
completed | May 10, 2026, 1:05 p.m. |
| PD | Predicate disambiguation | batch_6a0081ed6a1481908baf472876e28db9 |
completed | May 10, 2026, 1:02 p.m. |
Created at: April 28, 2026, 6:43 a.m.