Triple

T19749719
Position Surface form Disambiguated ID Type / Status
Subject Rocket Internet E474344 entity
Predicate parentOrganization P254 FINISHED
Object Rocket Internet SE 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: Rocket Internet SE | Statement: [Rocket Internet, parentOrganization, Rocket Internet SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocket Internet SE
Context triple: [Rocket Internet, parentOrganization, Rocket Internet SE]
  • A. Rocket Internet chosen
    Rocket Internet is a German startup incubator and investment company known for rapidly building and scaling internet-based businesses, often by replicating successful online models in emerging markets.
  • B. Khosla Ventures
    Khosla Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage, high-risk technology and clean energy startups.
  • C. Thoma Bravo
    Thoma Bravo is a leading private equity investment firm known for acquiring and growing software and technology companies.
  • D. 500 Startups
    500 Startups is a global venture capital firm and startup accelerator known for investing in and mentoring early-stage technology companies around the world.
  • E. Kapor Capital
    Kapor Capital is an early-stage venture capital firm focused on investing in technology-driven startups that aim to close gaps in access, opportunity, and outcomes for underserved communities.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529875688190952af476aa5be492 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:47 p.m.