Triple
T7185705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brampton Zum |
E167565
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Brampton |
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: City of Brampton | Statement: [Brampton Zum, owner, City of Brampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Brampton Context triple: [Brampton Zum, owner, City of Brampton]
-
A.
Brampton
Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
-
B.
Brampton
chosen
Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
-
C.
Bloomfield, Ontario
Bloomfield, Ontario is a small village in Prince Edward County known for its historic charm, local shops, and proximity to the region’s wineries and scenic countryside.
-
D.
Tillsonburg, Ontario
Tillsonburg, Ontario is a small town in southwestern Ontario known historically for its tobacco farming and agricultural roots.
-
E.
Uxbridge, Ontario
Uxbridge, Ontario is a rural township in Durham Region known for its extensive trail systems, rolling countryside, and designation as the “Trail Capital of 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_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_69c7bf903f1c819098de137c8c43ca34 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:49 p.m.