Triple
T3905141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abram Hoffer |
E87187
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Saskatchewan |
E15926
|
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: Saskatchewan | Statement: [Abram Hoffer, workLocation, Saskatchewan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saskatchewan Context triple: [Abram Hoffer, workLocation, Saskatchewan]
-
A.
Saskatchewan
chosen
Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
-
B.
Manitoba
Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
-
C.
Alberta
Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
-
D.
Prince Albert, Saskatchewan
Prince Albert, Saskatchewan is a small city in central Saskatchewan, Canada, known as a regional service hub and gateway to nearby lakes, forests, and outdoor recreation areas.
-
E.
Churchill, Manitoba
Churchill, Manitoba is a remote northern Canadian town on the shores of Hudson Bay, best known as one of the world’s premier destinations for viewing polar bears and beluga whales.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed0fb9888190add847806555a14a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b595f59e908190a45b3b9c767974fb |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:22 p.m.