Triple
T32392199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RUA:IND |
E827700
|
entity |
| Predicate | hasReconstitutionMonth |
—
|
GENERATED |
| Object | June |
—
|
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: hasReconstitutionMonth Context triple: [RUA:IND, hasReconstitutionMonth, June]
-
A.
isReconstituted
Indicates that something has been restored or reformed to a prior or functional state after being separated, broken down, or altered.
-
B.
hasMonth
chosen
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
hasRebuiltDate
Indicates the date on which something was rebuilt or reconstructed.
-
D.
wasReconstructed
Indicates that something previously existing was rebuilt or restored after damage, destruction, or alteration.
-
E.
hasReconstitutionPolicy
Indicates that an entity is associated with a specific policy governing how it should be reconstituted, restored, or brought back into its original or intended state.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:52 a.m.