Triple

T19749705
Position Surface form Disambiguated ID Type / Status
Subject Rocket Internet E474344 entity
Predicate portfolioCompany P43497 FINISHED
Object Zalando
Zalando is a leading European online fashion and lifestyle retailer known for offering a wide range of clothing, shoes, and accessories from numerous brands.
 E1393471 NE FINISHED

How this triple was built (4 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: Zalando | Statement: [Rocket Internet, portfolioCompany, Zalando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zalando
Context triple: [Rocket Internet, portfolioCompany, Zalando]
  • A. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Zara
    Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
  • C. Zara
    Zara is the determined young equestrian protagonist of Georgina Bloomberg and Catherine Hapka’s novel "The A Circuit," navigating the competitive world of elite show jumping.
  • 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 a British equestrian and member of the royal family, known as the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zalando
Triple: [Rocket Internet, portfolioCompany, Zalando]
Generated description
Zalando is a leading European online fashion and lifestyle retailer known for offering a wide range of clothing, shoes, and accessories from numerous brands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zalando
Target entity description: Zalando is a leading European online fashion and lifestyle retailer known for offering a wide range of clothing, shoes, and accessories from numerous brands.
  • A. Zara
    Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
  • B. Zara
    Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
  • C. Zara
    Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
  • D. Zara
    Zara is a British equestrian and member of the royal family, known as the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
  • E. Zara
    Zara is the determined young equestrian protagonist of Georgina Bloomberg and Catherine Hapka’s novel "The A Circuit," navigating the competitive world of elite show jumping.
  • F. None of above. chosen

Provenance (5 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529875688190952af476aa5be492 completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b503b84c8190a17cea6751610b62 completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b9a8d45c81909da6ca868e9c69c8 completed May 16, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_6a07ba7256b48190affa988af6187a92 completed May 16, 2026, 12:29 a.m.
Created at: April 10, 2026, 1:47 p.m.