Triple
T5784641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Mart Supermarkets |
E128240
|
entity |
| Predicate | tradeName |
P1500
|
FINISHED |
| Object | Save Mart |
E128240
|
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: Save Mart | Statement: [Save Mart Supermarkets, tradeName, Save Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save Mart Context triple: [Save Mart Supermarkets, tradeName, 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.
Meijer
Meijer is a Dutch-origin surname borne by numerous individuals, including notable figures in business, politics, and the arts.
-
C.
Harris Teeter
Harris Teeter is a regional American supermarket chain known for its grocery stores primarily located in the Southeastern and Mid-Atlantic United States.
-
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.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a19870c819084dc68b36b0cdd60 |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09815e5c08190a01ffad813e9d195 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.