Triple
T22167191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FoodMaxx |
E547823
|
entity |
| Predicate | hasParentBrand |
P6092
|
FINISHED |
| Object | Save Mart |
—
|
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: Save Mart | Statement: [FoodMaxx, hasParentBrand, Save Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Mart Context triple: [FoodMaxx, hasParentBrand, Save Mart]
-
A.
Save Mart Supermarkets
chosen
Save Mart Supermarkets is a regional supermarket chain based in California, known for operating grocery stores under several banners throughout the state and parts of Nevada.
-
B.
Price Mart
Price Mart is a fictional big-box retail store featured in the television series "That '70s Show," where several main characters work and interact.
-
C.
Safeway
Safeway is a major American supermarket chain offering groceries, household goods, and pharmacy services across numerous locations.
-
D.
E-Mart
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
-
E.
Maxi-Mart
Maxi-Mart is a local convenience and grocery store in Highland, Texas, serving as a notable neighborhood shopping spot for residents.
- 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.