Triple
T31266315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spenser series |
E797260
|
entity |
| Predicate | typicalSettingType |
—
|
GENERATED |
| Object | urban setting |
—
|
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: typicalSettingType Context triple: [Spenser series, typicalSettingType, urban setting]
-
A.
typicalSettingConsumed
Indicates the usual context or environment in which something is normally consumed.
-
B.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
C.
typicalRegionType
Indicates that a region is of a characteristic or commonly occurring type for a given context or entity.
-
D.
typicalLotType
Indicates that one entity is the standard or commonly occurring type of lot associated with another entity.
-
E.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
- F. None of above. chosen
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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:12 p.m.