Triple
T22167192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FoodMaxx |
E547823
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Food 4 Less |
—
|
NE NERFINISHED |
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: Food 4 Less | Statement: [FoodMaxx, competitor, Food 4 Less]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food 4 Less Context triple: [FoodMaxx, competitor, Food 4 Less]
-
A.
Food 4 Less
chosen
Food 4 Less is a U.S. supermarket chain known for its warehouse-style, no-frills grocery stores that emphasize low prices.
-
B.
Thrifty Foods
Thrifty Foods is a Canadian supermarket chain based in British Columbia, known for its full-service grocery stores and community-focused service.
-
C.
Save-On-Foods
Save-On-Foods is a Canadian supermarket chain known for its full-service grocery stores across Western Canada and parts of the Northwest.
-
D.
FoodMaxx
FoodMaxx is a U.S. discount supermarket chain known for its warehouse-style, low-price grocery stores.
-
E.
Payless Foods
Payless Foods is a local grocery store serving the community of Freeland on Whidbey Island in Washington State.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.