Triple
T34368307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Foundling |
E882080
|
entity |
| Predicate | associatedWithSettingCountry |
—
|
GENERATED |
| Object | England |
—
|
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: associatedWithSettingCountry Context triple: [A Foundling, associatedWithSettingCountry, England]
-
A.
associatedWithSetting
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
-
B.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
C.
correspondsToCountry
Indicates that one entity is associated with, matches, or represents a specific country.
-
D.
usesCountry
Indicates that one entity makes use of, operates within, or is functionally associated with a specified country.
-
E.
associatedCountry
chosen
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:58 a.m.