Triple
T33744207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welun |
E864654
|
entity |
| Predicate | notableBuildingDestroyed |
—
|
GENERATED |
| Object | hospital |
—
|
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: notableBuildingDestroyed Context triple: [Welun, notableBuildingDestroyed, hospital]
-
A.
buildingsDestroyed
Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
-
B.
landmarksDestroyed
chosen
Indicates that certain notable or significant physical landmarks have been damaged or completely destroyed.
-
C.
originalBuildingDestroyedBy
Indicates that the original building was destroyed as a result of the actions or effects of the specified agent or cause.
-
D.
secondBuildingDestroyedBy
Indicates that the second building in a specified context is the one that was destroyed by a particular agent or event.
-
E.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:44 a.m.