Triple
T15771099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saskatoon Metropolitan Area |
E382360
|
entity |
| Predicate | containsSuburbanArea |
P15843
|
FINISHED |
| Object |
Warman
Warman is a rapidly growing suburban city in central Saskatchewan, Canada, located just north of Saskatoon.
|
E1175290
|
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: Warman | Statement: [Saskatoon Metropolitan Area, containsSuburbanArea, Warman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warman Context triple: [Saskatoon Metropolitan Area, containsSuburbanArea, Warman]
-
A.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
B.
Wenman
Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
-
C.
Lawmond
Lawmond is a Scottish family name recognized as a sept of Clan Lamont, a historic Highland clan from Argyll.
-
D.
Leeman
Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
-
E.
Leeman
Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
- 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: Warman Triple: [Saskatoon Metropolitan Area, containsSuburbanArea, Warman]
Generated description
Warman is a rapidly growing suburban city in central Saskatchewan, Canada, located just north of Saskatoon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warman Target entity description: Warman is a rapidly growing suburban city in central Saskatchewan, Canada, located just north of Saskatoon.
-
A.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
B.
Wenman
Wenman is an uncommon English given name historically borne by figures such as the politician Wenman Coke.
-
C.
Lawmond
Lawmond is a Scottish family name recognized as a sept of Clan Lamont, a historic Highland clan from Argyll.
-
D.
Leeman
Leeman is the namesake of Leeman-Turner Arena at Grace Hall, likely a person honored for significant contributions to the associated institution or community.
-
E.
Leeman
Leeman is a small coastal town in the Mid West region of Western Australia, known for its fishing and relaxed seaside lifestyle.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142df48e8819083a48d3b7b3f7f5d |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff885d33708190adb157afa7dc2e07 |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8948cc68819085c3953226236394 |
completed | May 9, 2026, 7:21 p.m. |
Created at: April 10, 2026, 4:47 a.m.