Triple

T22506300
Position Surface form Disambiguated ID Type / Status
Subject Nireno E556397 entity
Predicate workPremierePlace P3172 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: [Nireno, workPremierePlace, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [Nireno, workPremierePlace, 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: workPremierePlace
Context triple: [Nireno, workPremierePlace, London]
  • A. workPremiereTheater
    Indicates the theater where a work (such as a play, film, or performance) was first publicly premiered.
  • B. workPremiereCountry
    Indicates the country in which a work (such as a film, play, or musical piece) was first premiered or publicly presented.
  • C. workPremiereEvent
    Indicates the event at which a creative work is first publicly presented or premiered.
  • D. premiereLocation chosen
    Indicates the place where something (such as a film, play, or event) is first publicly presented or debuted.
  • E. worldPremierePlace
    Indicates the place where something (typically a work or event) was first publicly premiered in the world.
  • F. None of above.

Provenance (3 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5cddf88190821d9c9fdee84160 completed April 29, 2026, 1:22 a.m.
PD Predicate disambiguation batch_69e898be31448190be5ae7f5656f0497 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:50 p.m.