Triple

T14666084
Position Surface form Disambiguated ID Type / Status
Subject Tothill Street E344377 entity
Predicate near P350 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: [Tothill Street, near, Victoria Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria Street
Context triple: [Tothill Street, near, Victoria Street]
  • A. 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.
  • B. Victoria Street
    Victoria Street is a central thoroughfare in Belfast, Northern Ireland, known for its proximity to key civic buildings and the historic city center.
  • 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. Victoria Street
    Victoria Street is a railway station on the line between Newcastle and Maitland in New South Wales, Australia.
  • E. Victoria Street
    Victoria Street is a notable thoroughfare in Durban, South Africa, historically known for its bustling markets and vibrant multicultural atmosphere.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54c69f8819080a37161deecfba8 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff453e3d3081909f6b6e8b67a824ac completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:27 a.m.