Triple
T3071581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loblaws |
E64035
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Loblaws |
E64035
|
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: Loblaws | Statement: [Loblaws, brand, Loblaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loblaws Context triple: [Loblaws, brand, Loblaws]
-
A.
Loblaws supermarket
chosen
Loblaws supermarket is a major Canadian grocery store chain known for its large-format supermarkets and wide selection of food and household products.
-
B.
Sears Canada
Sears Canada was a major Canadian department store chain that operated retail stores, catalog, and online shopping until its closure in 2018.
-
C.
Canadian Tire
Canadian Tire is a major Canadian retail company best known for its nationwide chain of automotive, hardware, sports, leisure, and home goods stores.
-
D.
Kroger
Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
-
E.
Carrefour
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20354031c819081a0852fe7e181ab |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:02 p.m.