Triple
T3486977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MB |
E73630
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Winnipeg |
E16109
|
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: Winnipeg | Statement: [MB, associatedWith, Winnipeg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnipeg Context triple: [MB, associatedWith, Winnipeg]
-
A.
Saskatoon
Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
-
B.
Winnipeg, Manitoba, Canada
chosen
Winnipeg, Manitoba, Canada is the capital and largest city of the province of Manitoba, known as a major cultural and economic center in central Canada.
-
C.
Moose Jaw
Moose Jaw is a mid-sized city in southern Saskatchewan, Canada, known for its historic downtown, underground tunnels, and role as a regional service and transportation hub.
-
D.
Edmonton
Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
-
E.
Edmonton
Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9059f881908f9cbe544365c8df |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bbbe7648190bde27a2a048ff18c |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:18 p.m.