Triple
T37751644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganish |
E940994
|
entity |
| Predicate | hasRestorationSupportFrom |
—
|
GENERATED |
| Object | Aga Khan Cultural Service Pakistan |
—
|
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: hasRestorationSupportFrom Context triple: [Ganish, hasRestorationSupportFrom, Aga Khan Cultural Service Pakistan]
-
A.
hasRestoration
Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
-
B.
hasRestorationPurpose
Indicates that something is intended or used for the purpose of restoring, repairing, or returning another thing to a previous or improved state.
-
C.
hasRestorationApproach
Indicates the method or strategy used to restore or rehabilitate something to a desired state.
-
D.
hasRestorer
Indicates that an entity is associated with a specific agent or party responsible for restoring, repairing, or returning it to a prior or improved condition.
-
E.
hasRestorationGroup
chosen
Indicates that an entity is associated with a group responsible for its repair, conservation, or restoration.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:19 p.m.