Triple

T12947028
Position Surface form Disambiguated ID Type / Status
Subject Victoria Underground station E309795 entity
Predicate locatedUnder P10157 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: [Victoria Underground station, locatedUnder, Victoria Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria Street
Context triple: [Victoria Underground station, locatedUnder, 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3643a23481909103166abb6aaa4e completed May 9, 2026, 1:27 p.m.
Created at: April 9, 2026, 5:43 p.m.