Triple
T15099151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoox Net-a-Porter Group |
E360615
|
entity |
| Predicate | operatesPlatform |
P1292
|
FINISHED |
| Object | YOOX |
E360615
|
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: YOOX | Statement: [Yoox Net-a-Porter Group, operatesPlatform, YOOX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YOOX Context triple: [Yoox Net-a-Porter Group, operatesPlatform, YOOX]
-
A.
Yoox Net-a-Porter Group
chosen
Yoox Net-a-Porter Group is a leading global online luxury fashion retailer formed from the merger of Yoox and Net-a-Porter, known for selling high-end designer brands through multiple e-commerce platforms.
-
B.
Farfetch
Farfetch is a global online luxury fashion retail platform that connects consumers with a wide network of boutiques and brands worldwide.
-
C.
Net-a-Porter
Net-a-Porter is a pioneering luxury fashion e-commerce retailer known for offering high-end designer clothing, accessories, and editorial-style content to a global audience.
-
D.
Zara
Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
-
E.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e6fc7c8190b517a7daa567d67c |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:04 a.m.