Triple

T18565880
Position Surface form Disambiguated ID Type / Status
Subject IFRS Foundation E453759 entity
Predicate headquartersLocation P62 FINISHED
Object London, United Kingdom NE NERFINISHED

How this triple was built (2 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, United Kingdom | Statement: [IFRS Foundation, headquartersLocation, London, United Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, United Kingdom
Context triple: [IFRS Foundation, headquartersLocation, London, United Kingdom]
  • A. 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.
  • B. 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.
  • C. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • D. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • E. Manchester, United Kingdom
    Manchester, United Kingdom is a major city in northwest England known for its industrial heritage, influential music and sports culture, and status as a key economic and cultural hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afe3ee081909eeee62c889948f4 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.