Triple
T174899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario |
E3554
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Thunder Bay |
E15925
|
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: Thunder Bay | Statement: [Ontario, containsCity, Thunder Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Bay Context triple: [Ontario, containsCity, Thunder Bay]
-
A.
Thunder Bay
chosen
Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
-
B.
Parry Sound
Parry Sound is a small town in central Ontario, Canada, known for its scenic location on Georgian Bay and as a popular destination for boating and outdoor recreation.
-
C.
Toronto
Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
-
D.
Sault Ste. Marie, Ontario, Canada
Sault Ste. Marie, Ontario, Canada is a northern Ontario city on the St. Marys River known as a key Great Lakes shipping hub and border community opposite Sault Ste. Marie, Michigan.
-
E.
Kitchener
Kitchener is a mid-sized city in southwestern Ontario, Canada, known for its manufacturing history and annual Oktoberfest celebration.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e32da88190ad9485aecd0bf08f |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3795173e88190afe87259edd4f275 |
completed | Feb. 28, 2026, 11:25 p.m. |
Created at: Feb. 28, 2026, 2:39 a.m.