Triple
T17389040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brant County |
E422766
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Oakland, Ontario |
—
|
NE NERFINISHED |
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: Oakland, Ontario | Statement: [Brant County, hasCommunity, Oakland, Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakland, Ontario Context triple: [Brant County, hasCommunity, Oakland, Ontario]
-
A.
Oakland, Ontario
chosen
Oakland, Ontario is a small rural community located within the County of Brant in southwestern Ontario, Canada.
-
B.
Portland, Ontario
Portland, Ontario is a small lakeside village in Eastern Ontario, Canada, known for its location on the Rideau Canal and its recreational boating and cottage activities.
-
C.
Richmond, Ontario
Richmond, Ontario is a historic rural village within the city of Ottawa, known as one of the region’s earliest military settlements.
-
D.
Alexandria, Ontario
Alexandria, Ontario is a small town in eastern Ontario, Canada, known for its Franco-Ontarian heritage and role as a local service and cultural center for the surrounding rural region.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.