Triple
T22167197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FoodMaxx |
E547823
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | FoodMaxx |
—
|
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: FoodMaxx | Statement: [FoodMaxx, hasBrand, FoodMaxx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FoodMaxx Context triple: [FoodMaxx, hasBrand, FoodMaxx]
-
A.
FoodMaxx
chosen
FoodMaxx is a U.S. discount supermarket chain known for its warehouse-style, low-price grocery stores.
-
B.
FoodMaxx stores
FoodMaxx stores are a chain of warehouse-style, low-price grocery supermarkets operated by Save Mart Supermarkets.
-
C.
Shopping Bag Food Stores
Shopping Bag Food Stores was a regional supermarket chain in the Los Angeles area that became notable as a party in the landmark U.S. antitrust case United States v. Von's Grocery Co.
-
D.
Food 4 Less
Food 4 Less is a U.S. supermarket chain known for its warehouse-style, no-frills grocery stores that emphasize low prices.
-
E.
easyFoodstore
easyFoodstore is a low-cost supermarket chain in the UK, created by the easyGroup brand family to offer basic groceries at very low prices.
- 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.