Triple
T762577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberta |
E16102
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Grande Prairie
Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
|
E103009
|
NE FINISHED |
How this triple was built (4 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: Grande Prairie | Statement: [Alberta, hasCity, Grande Prairie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grande Prairie Context triple: [Alberta, hasCity, Grande Prairie]
-
A.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
B.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
C.
Swift Current
Swift Current is a small city in southwestern Saskatchewan, Canada, known as a regional service and agricultural center along the Trans-Canada Highway.
-
D.
Lethbridge
Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
-
E.
Freeland
Freeland is a small rural village located within the district of West Oxfordshire in England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grande Prairie Triple: [Alberta, hasCity, Grande Prairie]
Generated description
Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grande Prairie Target entity description: Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
-
A.
Red Deer
Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
-
B.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
C.
Swift Current
Swift Current is a small city in southwestern Saskatchewan, Canada, known as a regional service and agricultural center along the Trans-Canada Highway.
-
D.
Lethbridge
Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
-
E.
Freeland
Freeland is a small rural village located within the district of West Oxfordshire in England.
- F. None of above. chosen
Provenance (5 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6841f388190a6d08c3bf5c17fe4 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83948b48190af0349dd73ec3951 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b99c19fc819090e0f9a042a8c12c |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba44b79c8190b0ce8a430fe928e5 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:37 p.m.