Triple

T18936817
Position Surface form Disambiguated ID Type / Status
Subject Marian Goodman Gallery E463269 entity
Predicate formerSpaceIn P133866 FINISHED
Object London NE NERFINISHED

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: [Marian Goodman Gallery, formerSpaceIn, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [Marian Goodman Gallery, formerSpaceIn, 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: formerSpaceIn
Context triple: [Marian Goodman Gallery, formerSpaceIn, London]
  • A. formerGround
    Indicates that an entity previously served as the ground or base for another entity but no longer holds that role.
  • B. formerPart
    Indicates that an entity was once a component or member of another entity but is no longer part of it.
  • C. formerAccess
    Indicates that an entity previously had access to another entity or resource but no longer does.
  • D. formerCapacity
    Indicates that an entity previously held a particular role, position, or function but no longer does so.
  • E. formerField
    Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
  • F. None of above. chosen

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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e7b87c81909dc29defb33c8e00 completed April 20, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69e4a2efec5c8190840704016bf547a1 completed April 19, 2026, 9:40 a.m.
PDg Predicate description generation batch_69e4ad8e075c8190ad561edc5e520057 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 11:59 a.m.