Triple
T6646774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSG Landers |
E150719
|
entity |
| Predicate | notableSponsor |
P1807
|
FINISHED |
| Object |
E-Mart
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
|
E609552
|
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: E-Mart | Statement: [SSG Landers, notableSponsor, E-Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-Mart Context triple: [SSG Landers, notableSponsor, E-Mart]
-
A.
Meijer
Meijer is a Dutch-origin surname borne by numerous individuals, including notable figures in business, politics, and the arts.
-
B.
Kroger
Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
-
C.
Kmart Corporation
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
-
D.
Publix
Publix is a major employee-owned American supermarket chain based in the Southeastern United States.
-
E.
Empire Stores
Empire Stores is a historic waterfront warehouse complex in Brooklyn’s DUMBO neighborhood that has been redeveloped into a mixed-use hub of offices, shops, dining, and public space overlooking the East River.
- 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: E-Mart Triple: [SSG Landers, notableSponsor, E-Mart]
Generated description
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-Mart Target entity description: E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
-
A.
Meijer
Meijer is a Dutch-origin surname borne by numerous individuals, including notable figures in business, politics, and the arts.
-
B.
Kroger
Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
-
C.
Kmart Corporation
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
-
D.
Publix
Publix is a major employee-owned American supermarket chain based in the Southeastern United States.
-
E.
Empire Stores
Empire Stores is a historic waterfront warehouse complex in Brooklyn’s DUMBO neighborhood that has been redeveloped into a mixed-use hub of offices, shops, dining, and public space overlooking the East River.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01cecc48190a6d2c26d8d5ab80c |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef6def8819084bccdf6f11e63da |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a1149c8190af55a613eada84b6 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f17ccd7c8190918e03b114f4f064 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2 p.m.