Triple
T34830090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Rio |
E1004041
|
entity |
| Predicate | locationOfCriminalActivity |
P59762
|
FINISHED |
| Object | Chicago, Illinois |
E817598
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chicago, Illinois | Statement: [Frank Rio, locationOfCriminalActivity, Chicago, Illinois]
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 (4 batches)
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. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37793a0e708190a43c8f8b1309ac3c |
completed | June 21, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.