Triple
T19504019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania State Police |
E487973
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Computer Crime Unit |
—
|
NE NERFINISHED |
How this triple was built (3 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: Computer Crime Unit | Statement: [Pennsylvania State Police, hasPart, Computer Crime Unit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Computer Crime Unit Context triple: [Pennsylvania State Police, hasPart, Computer Crime Unit]
-
A.
Computer Crimes Unit
The Computer Crimes Unit is a specialized division of the Massachusetts State Police that investigates and analyzes technology-related and cyber-enabled criminal activity.
-
B.
Cyber Crime Unit
The Cyber Crime Unit is a specialized division of the Detroit Police Department focused on investigating and combating computer-based and digital crimes.
-
C.
Cyber Crime Unit
The Cyber Crime Unit is a specialist division of the City of London Police dedicated to investigating and combating cyber-enabled and computer-based criminal activity.
-
D.
Cyber Crime Unit
The Cyber Crime Unit is a specialized division of York Regional Police that investigates and combats offenses involving computers, networks, and digital evidence.
-
E.
Cyber Crime Unit
The Cyber Crime Unit is a specialist South Wales Police team dedicated to investigating and combating offences involving computers, networks, and digital technology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Computer Crime Unit Target entity description: The Computer Crime Unit is a specialized division of the Pennsylvania State Police that investigates and analyzes technology-related offenses such as cybercrime and digital evidence.
-
A.
Computer Crimes Unit
The Computer Crimes Unit is a specialized division of the Massachusetts State Police that investigates and analyzes technology-related and cyber-enabled criminal activity.
-
B.
Cyber Crime Unit
The Cyber Crime Unit is a specialized division of the Detroit Police Department focused on investigating and combating computer-based and digital crimes.
-
C.
Cyber Crime Unit
The Cyber Crime Unit is a specialist division of the City of London Police dedicated to investigating and combating cyber-enabled and computer-based criminal activity.
-
D.
Cyber Crime Unit
The Cyber Crime Unit is a specialized division of York Regional Police that investigates and combats offenses involving computers, networks, and digital evidence.
-
E.
Cyber Crime Unit
The Cyber Crime Unit is a specialist South Wales Police team dedicated to investigating and combating offences involving computers, networks, and digital technology.
- F. None of above. chosen
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635105db8819084915dc2d047188d |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.