Triple

T3165007
Position Surface form Disambiguated ID Type / Status
Subject Logan Green E66189 entity
Predicate formerCEOOf P6143 FINISHED
Object Lyft E7323 NE FINISHED

How this triple was built (3 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: Lyft | Statement: [Logan Green, formerCEOOf, Lyft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyft
Context triple: [Logan Green, formerCEOOf, Lyft]
  • A. Lyft chosen
    Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
  • B. 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.
  • C. Uber Pro
    Uber Pro is a rewards and loyalty program that provides benefits and incentives to Uber drivers based on their performance and activity.
  • D. 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.
  • E. Didi Chuxing
    Didi Chuxing is a major Chinese ride-hailing and mobility technology company offering app-based transportation, taxi, and related services across numerous cities in China and abroad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerCEOOf
Context triple: [Logan Green, formerCEOOf, Lyft]
  • A. formerCEO chosen
    Indicates that one entity previously held, but no longer holds, the position of chief executive officer of the other entity.
  • B. formerDirector
    Indicates that one entity previously held the position of director of the other entity but no longer does.
  • C. predecessorCEO
    Indicates that one person previously held the position of CEO before another specific person.
  • D. previousCoCEOWith
    Indicates that two entities previously served together as co-chief executive officers of the same organization.
  • E. coChiefExecutiveOfficerOf
    Indicates that a person jointly holds the top executive leadership position of a company or organization, sharing chief executive officer responsibilities with one or more others.
  • F. None of above.

Provenance (4 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6424ee48190a29891ffbbc3811d completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b552b488190938ed9fe4d046b01 completed March 12, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69ad9dfe0a948190928f2201d671c654 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.