Triple

T2874118
Position Surface form Disambiguated ID Type / Status
Subject London Victoria E56834 entity
Predicate hasEntranceOn P1974 FINISHED
Object Victoria Street E381128 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 Street | Statement: [London Victoria, hasEntranceOn, Victoria Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria Street
Context triple: [London Victoria, hasEntranceOn, Victoria Street]
  • A. Victoria Street
    Victoria Street is a central thoroughfare in Manchester, England, known for running past landmarks such as Manchester Cathedral in the city’s historic core.
  • B. Victoria Street chosen
    Victoria Street is a major thoroughfare in central London that runs through the Westminster area, connecting key government, commercial, and transport hubs.
  • C. Victoria Street
    Victoria Street is a famously picturesque, curved shopping street in Edinburgh’s Old Town, known for its colorful facades and historic architecture.
  • D. Argyle Street
    Argyle Street is one of Glasgow’s main shopping and thoroughfare streets, running through the city centre and known for its retail outlets and busy pedestrian traffic.
  • E. Queen Victoria Street
    Queen Victoria Street is a major thoroughfare in the City of London that runs between Blackfriars and the Bank of England, lined with notable commercial and historic buildings.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4f00fe39481908cee24dc57be2b3b completed March 14, 2026, 5:20 a.m.
Created at: March 6, 2026, 10:03 p.m.