Triple
T230511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cory Doctorow |
E4400
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Toronto, Ontario, Canada |
E1525
|
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, Ontario, Canada | Statement: [Cory Doctorow, placeOfBirth, Toronto, Ontario, Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toronto, Ontario, Canada Context triple: [Cory Doctorow, placeOfBirth, Toronto, Ontario, Canada]
-
A.
Toronto
chosen
Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
-
B.
Downtown Toronto
Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
-
C.
London, Ontario
London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
-
D.
Markham, Ontario
Markham, Ontario is a rapidly growing city in the Greater Toronto Area known for its diverse population, high-tech industry hub, and blend of urban and suburban communities.
-
E.
Kingston, Ontario
Kingston, Ontario is a historic Canadian city on the northeastern shore of Lake Ontario, known for its 19th-century limestone architecture, military and political heritage, and as home to Queen’s University.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cac7994819080b0b3b10808f8e5 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b2a8a081908b45c15fae160d9e |
completed | March 1, 2026, 5:03 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.