Triple
T19245728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Census Division No. 9, Saskatchewan |
E481247
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Springside
Springside is a small town in the Canadian province of Saskatchewan.
|
E1366020
|
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: Springside | Statement: [Census Division No. 9, Saskatchewan, contains, Springside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springside Context triple: [Census Division No. 9, Saskatchewan, contains, Springside]
-
A.
Elmwood Springs
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
-
B.
Crestline
Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
-
C.
River Heights
River Heights is the fictional Midwestern hometown of teenage sleuth Nancy Drew, serving as the primary backdrop for many of her mystery-solving adventures.
-
D.
Parkerville
Parkerville is a semi-rural suburb in the Perth Hills region of Western Australia, known for its bushland setting and proximity to nature reserves and walking trails.
-
E.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
- 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: Springside Triple: [Census Division No. 9, Saskatchewan, contains, Springside]
Generated description
Springside is a small town in the Canadian province of Saskatchewan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Springside Target entity description: Springside is a small town in the Canadian province of Saskatchewan.
-
A.
Elmwood Springs
Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
-
B.
Crestline
Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
-
C.
River Heights
River Heights is the fictional Midwestern hometown of teenage sleuth Nancy Drew, serving as the primary backdrop for many of her mystery-solving adventures.
-
D.
Parkerville
Parkerville is a semi-rural suburb in the Perth Hills region of Western Australia, known for its bushland setting and proximity to nature reserves and walking trails.
-
E.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2c34e88190a338e5a7ba906425 |
completed | April 20, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705e0e9208190ab6857bdc61ad22e |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a0706a7ff54819095a52f8d77d18060 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070731b0888190a1f93236b36302a6 |
completed | May 15, 2026, 11:44 a.m. |
Created at: April 10, 2026, 1:27 p.m.