Triple
T7185678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brampton Zum |
E167565
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Brampton, Ontario, Canada |
E30924
|
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: Brampton, Ontario, Canada | Statement: [Brampton Zum, locatedIn, Brampton, Ontario, Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brampton, Ontario, Canada Context triple: [Brampton Zum, locatedIn, Brampton, Ontario, Canada]
-
A.
Mississauga, Ontario, Canada
Mississauga, Ontario, Canada is a large suburban city west of Toronto known for its diverse population, major corporate headquarters, and proximity to Toronto Pearson International Airport.
-
B.
Brampton
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
-
C.
Brampton
chosen
Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
-
D.
Newtonbrook, Ontario, Canada
Newtonbrook, Ontario, Canada is a neighbourhood in the northern part of Toronto best known as the birthplace of former Canadian Prime Minister Lester B. Pearson.
-
E.
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.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8df6a6881909c3174f86c9a6b28 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eec651a48190b52052bfef83ffcd |
completed | March 28, 2026, 3:07 p.m. |
Created at: March 27, 2026, 2:49 p.m.