Triple
T38698289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British press corps in Moscow |
E950064
|
entity |
| Predicate | typicalEmployers |
—
|
GENERATED |
| Object | BBC |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEmployers Context triple: [British press corps in Moscow, typicalEmployers, BBC]
-
A.
typicalEmployer
chosen
Indicates that one entity is the kind of organization or person that commonly or usually employs the other entity.
-
B.
typicalEmployerUnit
Indicates that one entity is the standard or characteristic organizational unit that employs or is expected to employ another entity.
-
C.
typicalEmployerBrand
Indicates that an entity is the employer brand that is most commonly or characteristically associated with another entity.
-
D.
targetCompanies
Indicates that certain companies are the intended focus or recipients of a particular action, effort, or objective.
-
E.
typicalEnterprises
Indicates that an entity is a standard or representative example of enterprises within a given context or category.
- F. None of above.
Provenance (1 batch)
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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:33 p.m.