Triple

T1957790
Position Surface form Disambiguated ID Type / Status
Subject Russia Company E42308 entity
Predicate primaryPortInEngland P34392 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: [Russia Company, primaryPortInEngland, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [Russia Company, primaryPortInEngland, London]
  • 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. 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.
  • C. 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.
  • D. London Victoria
    London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
  • E. City of London
    The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
  • 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: primaryPortInEngland
Context triple: [Russia Company, primaryPortInEngland, London]
  • A. primaryLondonTerminal
    Indicates that a given station serves as the main London terminal for a particular rail service or route.
  • B. secondaryLondonTerminal
    Indicates that a location serves as a secondary terminal in London associated with a primary London terminal for a given service or route.
  • C. tierOfImportanceInEngland
    Indicates the relative level or rank of importance that something holds specifically within the context of England.
  • D. homePort
    Indicates that a vessel or mobile entity is based at, registered to, or primarily operates from a particular port or harbor.
  • E. portAlsoKnownAs
    Indicates that a port is referred to by an alternative name or alias.
  • F. None of above. chosen

Provenance (5 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb68a8e608190bc37a85913b3cd44 completed March 7, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fcb534881908415237d24b4d8b9 completed March 9, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69abaff5dbd48190a9d36ca60de151db completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb6893eb881908923f0168374596a completed March 7, 2026, 5:24 a.m.
Created at: March 4, 2026, 7:36 p.m.