Triple

T9120946
Position Surface form Disambiguated ID Type / Status
Subject 105 Victoria Street E218846 entity
Predicate location P40 FINISHED
Object Victoria, London E56834 NE FINISHED

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: Victoria, London | Statement: [105 Victoria Street, location, Victoria, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria, London
Context triple: [105 Victoria Street, location, Victoria, London]
  • A. London Victoria chosen
    London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • 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. Westminster, London, England
    Westminster, London, England is a central district of the UK capital known for housing key government institutions, royal landmarks, and major historical sites.
  • E. Kensington, London, England
    Kensington, London, England is an affluent central London district known for its elegant residential streets, embassies, and cultural landmarks such as Kensington Palace and the Royal Albert Hall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b32ba88190b2b4406c7b905cca completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf328e8819098be6d42c04a8944 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:17 p.m.