Triple
T37510110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears Roebuck model homes |
E932193
|
entity |
| Predicate | numberOfModelsOffered |
—
|
GENERATED |
| Object | over 400 |
—
|
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: numberOfModelsOffered Context triple: [Sears Roebuck model homes, numberOfModelsOffered, over 400]
-
A.
numberOfModels
chosen
Indicates the quantity or count of models associated with a given entity or context.
-
B.
offeredOnModelType
Indicates that something is made available or provided specifically for a particular model type.
-
C.
someModelsCoreCount
Indicates that there exists at least one model whose core count satisfies the specified condition or relation.
-
D.
hasModels
Indicates that an entity possesses, defines, or is associated with one or more models (such as conceptual, mathematical, or data models).
-
E.
hasModelSeries
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.