Triple
T6698958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topham Park |
E152825
|
entity |
| Predicate | hasMunicipalService |
P6352
|
FINISHED |
| Object | Toronto Fire Services |
E572882
|
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: Toronto Fire Services | Statement: [Topham Park, hasMunicipalService, Toronto Fire Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toronto Fire Services Context triple: [Topham Park, hasMunicipalService, Toronto Fire Services]
-
A.
Toronto Fire Services
chosen
Toronto Fire Services is the municipal fire and emergency response department serving the city of Toronto, Ontario, Canada.
-
B.
Vaughan Fire and Rescue Service
Vaughan Fire and Rescue Service is the municipal fire protection and emergency response agency serving the city of Vaughan in Ontario, Canada.
-
C.
Montreal fire department
The Montreal fire department is the municipal emergency service responsible for fire prevention, firefighting, and rescue operations across the city of Montreal and its boroughs.
-
D.
DC Fire and EMS
DC Fire and EMS is the primary fire protection and emergency medical services agency serving Washington, D.C.
-
E.
Toronto Police Service
The Toronto Police Service is the primary law enforcement agency responsible for policing the city of Toronto, Ontario, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a6082c819097a4301538399f59 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bfcb048190b682f4ec7e404b3e |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.