Triple

T241705
Position Surface form Disambiguated ID Type / Status
Subject Uber E4943 entity
Predicate notableSubsidiary P9212 FINISHED
Object Careem
Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
 E36562 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: Careem | Statement: [Uber, notableSubsidiary, Careem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Careem
Context triple: [Uber, notableSubsidiary, Careem]
  • A. Ola Cabs
    Ola Cabs is a major Indian ride-hailing company offering app-based transportation and mobility services across numerous cities in India and other countries.
  • B. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • C. Uber
    Uber is a global ride-hailing and technology company that connects passengers with drivers through a mobile app and has expanded into food delivery and freight services.
  • D. UberX
    UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
  • E. Uber Pool
    Uber Pool is a ride-sharing service from Uber that matches multiple passengers heading in similar directions to share a car and split the fare.
  • 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: Careem
Triple: [Uber, notableSubsidiary, Careem]
Generated description
Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Careem
Target entity description: Careem is a Dubai-based ride-hailing and delivery company operating across the Middle East, North Africa, and South Asia, acquired by Uber to expand its presence in the region.
  • A. Ola Cabs
    Ola Cabs is a major Indian ride-hailing company offering app-based transportation and mobility services across numerous cities in India and other countries.
  • B. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • C. Uber
    Uber is a global ride-hailing and technology company that connects passengers with drivers through a mobile app and has expanded into food delivery and freight services.
  • D. UberX
    UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
  • E. Uber Pool
    Uber Pool is a ride-sharing service from Uber that matches multiple passengers heading in similar directions to share a car and split the fare.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c42060819089eb772202e504f5 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a399a2991c8190a3f79aa899720a7c completed March 1, 2026, 1:42 a.m.
NEDg Description generation batch_69a39afffa5c8190a71e91cbea794197 completed March 1, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69a39b7aac5881908b2efeaae2603555 completed March 1, 2026, 1:50 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.