Triple
T36573242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postal Life Insurance |
E902171
|
entity |
| Predicate | relatedScheme |
—
|
GENERATED |
| Object | Rural Postal Life Insurance |
—
|
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: relatedScheme Context triple: [Postal Life Insurance, relatedScheme, Rural Postal Life Insurance]
-
A.
associatedWithScheme
chosen
Indicates that one entity is linked or connected to a particular scheme, framework, or structured plan.
-
B.
relatedGrantScheme
Indicates that there is an associated grant scheme that is relevant or linked to the subject entity.
-
C.
similarSchemeIn
Indicates that one entity uses a scheme or structural pattern that is similar to that used in another entity.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.