Triple
T34830090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Rio |
E1004041
|
entity |
| Predicate | locationOfCriminalActivity |
—
|
GENERATED |
| Object | Chicago, Illinois |
—
|
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: locationOfCriminalActivity Context triple: [Frank Rio, locationOfCriminalActivity, Chicago, Illinois]
-
A.
crimeLocation
chosen
Indicates that a crime occurred at, or is associated with, a particular location.
-
B.
regionOfCrimes
Indicates the geographic area or jurisdiction in which the crimes occurred or are attributed to an entity.
-
C.
scaleOfCriminalActivity
Indicates the relative extent or magnitude of involvement in criminal activity associated with an entity or event.
-
D.
crimeRate
Indicates the frequency or level of criminal activity occurring within a given area or population.
-
E.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.