Triple
T19317950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSW |
E483146
|
entity |
| Predicate | abbreviationOf |
P590
|
FINISHED |
| Object | Designer Shoe Warehouse |
—
|
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: Designer Shoe Warehouse | Statement: [DSW, abbreviationOf, Designer Shoe Warehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Designer Shoe Warehouse Context triple: [DSW, abbreviationOf, Designer Shoe Warehouse]
-
A.
DSW
chosen
DSW is a large American footwear and accessories retailer known for offering a wide selection of brand-name shoes at discount prices.
-
B.
Delman Shoes
Delman Shoes is an American luxury footwear brand known for its high-end, fashion-forward women’s shoes and collaborations with prominent designers.
-
C.
ShoeDazzle
ShoeDazzle is an online fashion subscription service specializing in women’s shoes, accessories, and apparel, offering personalized style selections to its members.
-
D.
Gary's Shoes
Gary's Shoes is the fictional shoe store where Al Bundy works in the television sitcom "Married... with Children."
-
E.
Skechers
Skechers is a global footwear and apparel brand known for its casual, comfortable, and performance-oriented shoes.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.