Triple
T23010193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Paramedic Services |
E572883
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Special operations division |
—
|
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: Special operations division | Statement: [Toronto Paramedic Services, hasDivision, Special operations division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Special operations division Context triple: [Toronto Paramedic Services, hasDivision, Special operations division]
-
A.
special operations division
The special operations division is a specialized unit within the Orlando Police Department responsible for handling high-risk, complex, or non-routine law enforcement operations.
-
B.
special operations division
The special operations division is a specialized unit within the Clark County Fire Department that handles complex, high-risk incidents such as technical rescues, hazardous materials responses, and other non-routine emergencies.
-
C.
special operations division
The special operations division is a specialized unit within the Prince George’s County Police Department that handles high-risk, tactical, and specialized law enforcement operations.
-
D.
Special Operations Division
The Special Operations Division is a specialized unit of the Metropolitan Police Department of the District of Columbia responsible for handling high-risk incidents, tactical operations, and other critical public safety missions in Washington, D.C.
-
E.
Special Operations Division
The Special Operations Division is a specialized unit within the Tampa Police Department responsible for handling high-risk, tactical, and non-routine law enforcement operations.
- 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: Special operations division Target entity description: The Special Operations Division of Toronto Paramedic Services is a specialized unit that handles complex, high-risk, and large-scale emergency medical responses requiring advanced training and equipment.
-
A.
special operations division
The special operations division is a specialized unit within the Orlando Police Department responsible for handling high-risk, complex, or non-routine law enforcement operations.
-
B.
special operations division
The special operations division is a specialized unit within the Clark County Fire Department that handles complex, high-risk incidents such as technical rescues, hazardous materials responses, and other non-routine emergencies.
-
C.
special operations division
The special operations division is a specialized unit within the Prince George’s County Police Department that handles high-risk, tactical, and specialized law enforcement operations.
-
D.
Special Operations Division
The Special Operations Division is a specialized unit of the Metropolitan Police Department of the District of Columbia responsible for handling high-risk incidents, tactical operations, and other critical public safety missions in Washington, D.C.
-
E.
Special Operations Division
The Special Operations Division is a specialized unit within the Tampa Police Department responsible for handling high-risk, tactical, and non-routine law enforcement operations.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18359f5548190b15a139eb09e30a0 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.