Triple
T18730214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States retail industry |
E458013
|
entity |
| Predicate | majorCompany |
P597
|
FINISHED |
| Object | Kohl's |
—
|
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: Kohl's | Statement: [United States retail industry, majorCompany, Kohl's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohl's Context triple: [United States retail industry, majorCompany, Kohl's]
-
A.
Macy's
Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
-
B.
J. C. Penney
J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
-
C.
Marshalls
Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
-
D.
Kohl’s department store chain
chosen
Kohl’s department store chain is a major American retail chain known for its mid-priced apparel, home goods, and frequent promotional discounts, operating hundreds of stores across the United States.
-
E.
Dillard's
Dillard's is a major American department store chain offering a wide range of apparel, cosmetics, and home goods, primarily located in shopping malls across the United States.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d778cf8819083500600b9ac0744 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.