Triple
T14117335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kroger Co. |
E339805
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object |
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.
|
E1079859
|
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: Food 4 Less | Statement: [The Kroger Co., hasSubsidiaryBrand, Food 4 Less]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food 4 Less Context triple: [The Kroger Co., hasSubsidiaryBrand, Food 4 Less]
-
A.
Thrifty Foods
Thrifty Foods is a Canadian supermarket chain based in British Columbia, known for its full-service grocery stores and community-focused service.
-
B.
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.
-
C.
FoodMaxx
FoodMaxx is a U.S. discount supermarket chain known for its warehouse-style, low-price grocery stores.
-
D.
Payless Foods
Payless Foods is a local grocery store serving the community of Freeland on Whidbey Island in Washington State.
-
E.
Pay Less Super Markets
Pay Less Super Markets is a regional supermarket chain in the United States operating as a subsidiary of Kroger and offering a range of grocery and household products.
- 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: Food 4 Less Triple: [The Kroger Co., hasSubsidiaryBrand, Food 4 Less]
Generated description
Food 4 Less is a U.S. supermarket chain known for its warehouse-style, no-frills grocery stores that emphasize low prices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Food 4 Less Target entity description: Food 4 Less is a U.S. supermarket chain known for its warehouse-style, no-frills grocery stores that emphasize low prices.
-
A.
Thrifty Foods
Thrifty Foods is a Canadian supermarket chain based in British Columbia, known for its full-service grocery stores and community-focused service.
-
B.
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.
-
C.
FoodMaxx
FoodMaxx is a U.S. discount supermarket chain known for its warehouse-style, low-price grocery stores.
-
D.
Payless Foods
Payless Foods is a local grocery store serving the community of Freeland on Whidbey Island in Washington State.
-
E.
Pay Less Super Markets
Pay Less Super Markets is a regional supermarket chain in the United States operating as a subsidiary of Kroger and offering a range of grocery and household products.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd3a8b8e08190b230ab8a2215145e |
completed | May 7, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd48acddc819087d626c4764bf148 |
completed | May 7, 2026, 6:06 p.m. |
Created at: April 9, 2026, 10:22 p.m.