Triple
T38424115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PNP Wounded Personnel Medal |
E903311
|
entity |
| Predicate | typeOfInjuryRecognized |
—
|
GENERATED |
| Object | wounds sustained during official police operations |
—
|
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: typeOfInjuryRecognized Context triple: [PNP Wounded Personnel Medal, typeOfInjuryRecognized, wounds sustained during official police operations]
-
A.
injuryType
chosen
Indicates the specific kind or category of injury associated with an entity or event.
-
B.
causeOfInjury
Indicates that one entity is the source or reason that another entity sustained an injury.
-
C.
injuryStatus
Indicates the condition or state of harm, damage, or physical injury affecting an entity.
-
D.
injuriesApprox
Indicates an approximate or estimated number or extent of injuries associated with an event or entity.
-
E.
hasPlaceOfInjury
Indicates that an injury occurred at a specific place or location.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.