Triple

T7624758
Position Surface form Disambiguated ID Type / Status
Subject Victoria Leeds E172598 entity
Predicate hasPart P35 FINISHED
Object Victoria Quarter E677997 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 Quarter | Statement: [Victoria Leeds, hasPart, Victoria Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Quarter
Context triple: [Victoria Leeds, hasPart, Victoria Quarter]
  • A. Victoria Quarter chosen
    Victoria Quarter is an upmarket shopping and leisure district in central Leeds, England, known for its restored Victorian arcades, luxury retailers, and ornate architecture.
  • B. Paternoster Square
    Paternoster Square is a modern commercial and public plaza in the City of London, located near St Paul’s Cathedral and home to the London Stock Exchange.
  • C. Waverley Square
    Waverley Square is a commercial and transit-oriented neighborhood in Belmont, Massachusetts, known for its local shops and MBTA commuter rail station.
  • D. Barbican
    Barbican is a historic area in the City of London known for its medieval fortifications and the modern Barbican Estate and arts centre complex.
  • E. Barbican
    The Barbican in Banská Bystrica is a historic fortification structure that once formed part of the town’s medieval defensive system.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab1132481909e525e90764df041 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.