Triple

T16935212
Position Surface form Disambiguated ID Type / Status
Subject Henry Condell E410809 entity
Predicate professionallyBasedIn P32483 FINISHED
Object London E1817 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: London | Statement: [Henry Condell, professionallyBasedIn, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [Henry Condell, professionallyBasedIn, London]
  • A. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • B. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • C. London, England chosen
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • D. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • E. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • 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: professionallyBasedIn
Context triple: [Henry Condell, professionallyBasedIn, London]
  • A. isTypicallyBasedIn
    Indicates that one entity is most commonly located, headquartered, or primarily operates within the context or place specified by another entity.
  • B. basisOfOffice
    Indicates the foundational principle, authority, or justification upon which an office or official position is established or exercised.
  • C. professionalRegion
    Indicates the geographic area or jurisdiction within which a professional activity, role, or responsibility is carried out.
  • D. hasBaseOfOperations chosen
    Indicates that an entity uses a particular location as its primary place of operation or activity.
  • E. professionServed
    Indicates that an entity has performed work or provided services in a particular profession or occupational role.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2899608190a6bacdce9d4ceb84 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d452505c8190b6d37b54b2f665f0 completed May 10, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e32b982f548190b08414d55810de19 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:30 a.m.