Triple
T1869225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oshawa |
E34994
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Clarington |
E99470
|
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: Clarington | Statement: [Oshawa, hasNeighbour, Clarington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarington Context triple: [Oshawa, hasNeighbour, Clarington]
-
A.
Clarington
chosen
Clarington is a largely suburban and rural municipality in Ontario, Canada, located at the eastern edge of the Greater Toronto Area.
-
B.
Pelee Township
Pelee Township is a small Canadian municipality in southwestern Ontario that encompasses Pelee Island and surrounding islands in Lake Erie.
-
C.
Caledon
Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
-
D.
Lambton
Lambton is a residential neighbourhood in Toronto, Ontario, known for its proximity to the Humber River and its mix of historic and suburban housing.
-
E.
Welland
Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0b7e4548190a3761133fbbb7b81 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1dab2a481909adb0a3132348cee |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.