Triple
T12496743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose City |
E298709
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Welland, Ontario |
E45849
|
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: Welland, Ontario | Statement: [Rose City, refersTo, Welland, Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welland, Ontario Context triple: [Rose City, refersTo, Welland, Ontario]
-
A.
Welland
Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
-
B.
Welland
chosen
Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
-
C.
Wawa, Ontario
Wawa, Ontario is a small town in northern Ontario, Canada, known for its proximity to Lake Superior and its iconic giant Canada goose statue.
-
D.
Waterloo, Ontario
Waterloo, Ontario is a Canadian city in the Regional Municipality of Waterloo best known as a major tech and innovation hub and home to the University of Waterloo and Wilfrid Laurier University.
-
E.
Dundas, Ontario
Dundas, Ontario is a historic community now within the city of Hamilton, known for its charming downtown, heritage architecture, and proximity to conservation areas and waterfalls.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c6849d88190b33c9f50632811a8 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.