Triple
T19854378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calzedonia |
E477091
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Calzedonia Group |
—
|
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: Calzedonia Group | Statement: [Calzedonia, brandOf, Calzedonia Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calzedonia Group Context triple: [Calzedonia, brandOf, Calzedonia Group]
-
A.
Calzedonia
chosen
Calzedonia is an Italian fashion brand best known for its hosiery, swimwear, and legwear sold through an extensive network of retail stores worldwide.
-
B.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
C.
Benetton Group
Benetton Group is a global Italian fashion brand and retailer known for its colorful knitwear, casual clothing, and provocative social-issue advertising campaigns.
-
D.
C&A
C&A is a major international fashion retail chain known for offering affordable clothing and accessories across numerous European and global markets.
-
E.
Bata
Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586b5b088190948ef002c1e77176 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.