Triple
T21866340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baguette bag |
E539891
|
entity |
| Predicate | soldBy |
P7792
|
FINISHED |
| Object | Fendi boutiques |
—
|
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: Fendi boutiques | Statement: [Baguette bag, soldBy, Fendi boutiques]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fendi boutiques Context triple: [Baguette bag, soldBy, Fendi boutiques]
-
A.
Dior boutiques
Dior boutiques are the brand’s own luxury retail stores offering a curated selection of Dior fashion, accessories, fragrances, and timepieces in an exclusive setting.
-
B.
Fendi
chosen
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
C.
Benetton stores
Benetton stores are global retail outlets of the Italian fashion brand United Colors of Benetton, known for colorful casual clothing and distinctive, socially conscious marketing campaigns.
-
D.
Maison Valentino
Maison Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture and ready-to-wear collections.
-
E.
Farfetch
Farfetch is a global online luxury fashion retail platform that connects consumers with a wide network of boutiques and brands worldwide.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63f2ec48190956a3e99d8f98b1f |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.