Triple

T7624759
Position Surface form Disambiguated ID Type / Status
Subject Victoria Leeds E172598 entity
Predicate hasPart P35 FINISHED
Object Victoria Gate E677998 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 Gate | Statement: [Victoria Leeds, hasPart, Victoria Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Gate
Context triple: [Victoria Leeds, hasPart, Victoria Gate]
  • A. Victoria Gate chosen
    Victoria Gate is a modern shopping and leisure arcade in Leeds, England, known for its striking contemporary architecture and upmarket retail offering as part of the Victoria Leeds complex.
  • B. Marlborough Gate
    Marlborough Gate is an entrance gateway to Kensington Gardens in London, providing access to the royal park from the surrounding city streets.
  • C. Charlesgate
    Charlesgate is a major intersection and greenway area in Boston that links several key roadways and parklands near the Charles River.
  • D. Churchgate
    Churchgate is a prominent railway terminus and commercial locality in South Mumbai, serving as a key hub for the city's suburban rail network.
  • E. Storey’s Gate
    Storey’s Gate is a historic street in central London, situated near Westminster’s government and parliamentary 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_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.