Triple
T30678542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putnam County |
E780984
|
entity |
| Predicate | typicalSettingFeatures |
—
|
GENERATED |
| Object | school gymnasium |
—
|
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: typicalSettingFeatures Context triple: [Putnam County, typicalSettingFeatures, school gymnasium]
-
A.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
B.
featuresSituation
Indicates that a situation is characterized by, or has as one of its defining aspects, the specified feature or element.
-
C.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
typicalSettingConsumed
Indicates the usual context or environment in which something is normally consumed.
-
E.
themeCharacteristic
Indicates that a characteristic, quality, or property is attributed to or associated with a particular theme.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:32 p.m.