Triple

T7807126
Position Surface form Disambiguated ID Type / Status
Subject Great Smith Street E180582 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: [Great Smith Street, near, Victoria Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Street
Context triple: [Great Smith Street, near, 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. 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.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf639fba88190a7c117aab19c0b0f completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6bb34548190aac9d2af05477750 completed April 12, 2026, 3:14 p.m.
Created at: March 30, 2026, 4:35 p.m.