Triple
T9856695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kroger Field |
E239604
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | The Kroger Co. |
E68030
|
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: The Kroger Co. | Statement: [Kroger Field, sponsor, The Kroger Co.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Kroger Co. Context triple: [Kroger Field, sponsor, The Kroger Co.]
-
A.
Kroger
chosen
Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
-
B.
Kmart Corporation
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
-
C.
Albertsons
Albertsons is a major American supermarket and grocery retail chain operator with stores across numerous states under various regional banners.
-
D.
Costco Wholesale Corporation
Costco Wholesale Corporation is a multinational membership-based warehouse club retailer known for selling bulk goods at discounted prices through large-scale warehouse stores.
-
E.
Walmart Inc.
Walmart Inc. is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores and is one of the world’s largest companies by revenue.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39864188190a2d8c0ee911f00c2 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e43b2de881909e00f6701d1c7b54 |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:35 p.m.