Triple
T6424844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward’s Island |
E128032
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | downtown Toronto |
E18465
|
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: downtown Toronto | Statement: [Ward’s Island, hasViewOf, downtown Toronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Toronto Context triple: [Ward’s Island, hasViewOf, downtown Toronto]
-
A.
Downtown Toronto
chosen
Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
-
B.
Midtown Toronto
Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
-
C.
Eastern Toronto
Eastern Toronto is the part of Toronto that includes areas such as Scarborough and other eastern neighborhoods of the city.
-
D.
New Toronto
New Toronto is a lakeside neighbourhood in the former city of Etobicoke, Toronto, known for its industrial heritage, waterfront parks, and residential streets along Lake Ontario.
-
E.
Toronto
Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb9f03c8190a9e8e796dbb9330c |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:43 p.m.