Triple
T35467919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago and North Western Railway corridor |
E1025128
|
entity |
| Predicate | hasReuseType |
—
|
GENERATED |
| Object | rail-trail conversion |
—
|
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: hasReuseType Context triple: [Chicago and North Western Railway corridor, hasReuseType, rail-trail conversion]
-
A.
isReuseOf
Indicates that one entity is derived from, or created by reusing, the content, structure, or components of another entity.
-
B.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
C.
hasReclamationType
chosen
Indicates the specific method or category of reclamation associated with an entity, such as how land, materials, or resources are recovered or restored.
-
D.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.