Triple
T16004014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TechStyle Fashion Group |
E388164
|
entity |
| Predicate | hasOnlinePlatform |
P57
|
FINISHED |
| Object | ShoeDazzle.com |
E1187616
|
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: ShoeDazzle.com | Statement: [TechStyle Fashion Group, hasOnlinePlatform, ShoeDazzle.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ShoeDazzle.com Context triple: [TechStyle Fashion Group, hasOnlinePlatform, ShoeDazzle.com]
-
A.
ShoeDazzle
chosen
ShoeDazzle is an online fashion subscription service specializing in women’s shoes, accessories, and apparel, offering personalized style selections to its members.
-
B.
DSW
DSW is a large American footwear and accessories retailer known for offering a wide selection of brand-name shoes at discount prices.
-
C.
Zappos
Zappos is a major U.S.-based online retailer best known for its extensive selection of shoes and its customer-centric service culture.
-
D.
Matchesfashion
Matchesfashion is a luxury fashion e-commerce retailer known for curating high-end designer clothing, accessories, and lifestyle products for a global clientele.
-
E.
Calzedonia
Calzedonia is an Italian fashion brand best known for its hosiery, swimwear, and legwear sold through an extensive network of retail stores worldwide.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf20c5348190b42c2e01e8ef5ea8 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.