Triple
T38274900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Callcott |
E1021917
|
entity |
| Predicate | hasRelationshipToSetting |
—
|
GENERATED |
| Object | European expatriate in Australia |
—
|
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: hasRelationshipToSetting Context triple: [Jack Callcott, hasRelationshipToSetting, European expatriate in Australia]
-
A.
associatedWithSetting
chosen
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
-
B.
hasSettingBy
Indicates that something (such as a work, event, or scenario) has its contextual environment, location, or background defined or established by a particular agent or source.
-
C.
hasSettingRole
Indicates that an entity participates in a setting by fulfilling a specific contextual or functional role within it.
-
D.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
E.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.