Triple
T2382191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budweiser Gardens |
E46334
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | London, Ontario |
E24077
|
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: London, Ontario | Statement: [Budweiser Gardens, city, London, Ontario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London, Ontario Context triple: [Budweiser Gardens, city, London, Ontario]
-
A.
London, Ontario
chosen
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.
-
B.
Windsor, Ontario
Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
-
C.
Brantford
Brantford is a city in southwestern Ontario, Canada, known as the hometown of hockey legend Wayne Gretzky and for its historic role in the development of telephone technology.
-
D.
Guelph
Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
-
E.
Sarnia
Sarnia is an industrial city in southwestern Ontario, Canada, located on the shores of Lake Huron near the U.S. border, known for its petrochemical industry and busy port.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b98c988190abdb4fe51bf65bde |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1776d8d08190a7aae0969019d8f7 |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:57 p.m.