Triple
T9993522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York Regional Police |
E196944
|
entity |
| Predicate | hasSpecialUnit |
P1198
|
FINISHED |
| Object |
Forensic Identification Unit
The Forensic Identification Unit is a specialized division of York Regional Police responsible for collecting, analyzing, and preserving physical evidence from crime scenes to support criminal investigations.
|
E833649
|
NE FINISHED |
How this triple was built (4 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: Forensic Identification Unit | Statement: [York Regional Police, hasSpecialUnit, Forensic Identification Unit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forensic Identification Unit Context triple: [York Regional Police, hasSpecialUnit, Forensic Identification Unit]
-
A.
Forensic services unit
The Forensic Services Unit is a specialized division that applies scientific and technical methods to collect, analyze, and preserve evidence for criminal investigations.
-
B.
Forensics Unit
The Forensics Unit is a specialized division of the Tampa Police Department responsible for collecting, analyzing, and preserving physical evidence from crime scenes to support criminal investigations.
-
C.
Records and Identification Unit
The Records and Identification Unit is a specialized division of the Detroit Police Department responsible for managing criminal records, identification data, and related documentation.
-
D.
Forensic Investigation Center
The Forensic Investigation Center is a specialized New York State Police facility that conducts advanced scientific analysis and evidence processing to support criminal investigations.
-
E.
Division of Investigative and Forensic Services
The Division of Investigative and Forensic Services is a Florida state agency unit responsible for conducting criminal, insurance fraud, and fire investigations, as well as providing forensic and investigative support to law enforcement and regulatory efforts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forensic Identification Unit Triple: [York Regional Police, hasSpecialUnit, Forensic Identification Unit]
Generated description
The Forensic Identification Unit is a specialized division of York Regional Police responsible for collecting, analyzing, and preserving physical evidence from crime scenes to support criminal investigations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forensic Identification Unit Target entity description: The Forensic Identification Unit is a specialized division of York Regional Police responsible for collecting, analyzing, and preserving physical evidence from crime scenes to support criminal investigations.
-
A.
Forensic services unit
The Forensic Services Unit is a specialized division that applies scientific and technical methods to collect, analyze, and preserve evidence for criminal investigations.
-
B.
Forensics Unit
The Forensics Unit is a specialized division of the Tampa Police Department responsible for collecting, analyzing, and preserving physical evidence from crime scenes to support criminal investigations.
-
C.
Records and Identification Unit
The Records and Identification Unit is a specialized division of the Detroit Police Department responsible for managing criminal records, identification data, and related documentation.
-
D.
Forensic Investigation Center
The Forensic Investigation Center is a specialized New York State Police facility that conducts advanced scientific analysis and evidence processing to support criminal investigations.
-
E.
Division of Investigative and Forensic Services
The Division of Investigative and Forensic Services is a Florida state agency unit responsible for conducting criminal, insurance fraud, and fire investigations, as well as providing forensic and investigative support to law enforcement and regulatory efforts.
- F. None of above. chosen
Provenance (5 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2582ac03481908e76c10218f419d5 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259701e488190b288c9f523a1ec87 |
completed | April 5, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259da25e081909ac184f4fa80c57e |
completed | April 5, 2026, 12:47 p.m. |
Created at: March 30, 2026, 8:50 p.m.