Triple
T17881968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 2 (Saskatchewan) |
E447107
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Melfort
Melfort is a small city in east-central Saskatchewan, Canada, known as an agricultural service hub for the surrounding rural region.
|
E1329547
|
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: Melfort | Statement: [Highway 2 (Saskatchewan), passesThrough, Melfort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melfort Context triple: [Highway 2 (Saskatchewan), passesThrough, Melfort]
-
A.
North Battleford
North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
-
B.
Nanton
Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
-
C.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
D.
Stettler
Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
-
E.
Stettler
Stettler is a small town in central Alberta, Canada, known for its agricultural roots and heritage railway attractions.
- 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: Melfort Triple: [Highway 2 (Saskatchewan), passesThrough, Melfort]
Generated description
Melfort is a small city in east-central Saskatchewan, Canada, known as an agricultural service hub for the surrounding rural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melfort Target entity description: Melfort is a small city in east-central Saskatchewan, Canada, known as an agricultural service hub for the surrounding rural region.
-
A.
North Battleford
North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
-
B.
Nanton
Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
-
C.
Medicine Hat
Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
-
D.
Stettler
Stettler is a Swiss surname most notably associated with painter and art educator Martha Stettler.
-
E.
Stettler
Stettler is a small town in central Alberta, Canada, known for its agricultural roots and heritage railway attractions.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0f40fc8190b2e615b41829f5df |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049156bfa081909efced087541bcda |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a0492b3bb048190af9b28f3a1d89d7b |
completed | May 13, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049393db308190be7428a534c83ff9 |
completed | May 13, 2026, 3:07 p.m. |
Created at: April 10, 2026, 10:18 a.m.