Triple

T241714
Position Surface form Disambiguated ID Type / Status
Subject Uber E4943 entity
Predicate offersProgram P178 FINISHED
Object Uber Pro
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
 E37140 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: Uber Pro | Statement: [Uber, offersProgram, Uber Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uber Pro
Context triple: [Uber, offersProgram, Uber Pro]
  • A. 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.
  • B. UberX
    UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
  • C. 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.
  • D. Uber Black
    Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
  • E. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • 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: Uber Pro
Triple: [Uber, offersProgram, Uber Pro]
Generated description
Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uber Pro
Target entity description: Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
  • A. 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.
  • B. UberX
    UberX is Uber’s standard, budget-friendly ride option that connects riders with everyday drivers using their personal vehicles.
  • C. 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.
  • D. Uber Black
    Uber Black is Uber’s premium ride service offering high-end vehicles and professional drivers for a more luxurious travel experience.
  • E. Lyft
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • 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_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d0313b48190a3e8e1667a051610 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39d732c64819086a6e11df23e60ce completed March 1, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69a39de4511c8190bf668bc74ba57231 completed March 1, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.