Triple

T20714888
Position Surface form Disambiguated ID Type / Status
Subject Leeds city centre retail area E509143 entity
Predicate hasPart P35 FINISHED
Object Victoria Leeds E172598 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 Leeds | Statement: [Leeds city centre retail area, hasPart, Victoria Leeds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Leeds
Context triple: [Leeds city centre retail area, hasPart, Victoria Leeds]
  • A. Victoria Leeds chosen
    Victoria Leeds is an upmarket retail and leisure district in Leeds city centre, combining the historic Victoria Quarter with the modern Victoria Gate shopping centre.
  • B. Victoria Leeds
    Victoria Leeds is the glamorous and ruthless nightclub owner who serves as the primary antagonist in the 2017 action-comedy film "Baywatch."
  • C. Grace Sheffield
    Grace Sheffield is the youngest, intellectually precocious daughter in the wealthy Sheffield family on the sitcom "The Nanny."
  • D. Andrea Leeds
    Andrea Leeds was an American film actress best known for her acclaimed performances in 1930s Hollywood, including an Oscar-nominated role in "Stage Door."
  • E. Victoria Larkin
    Victoria Larkin is the wife of English actor Chris Larkin, known for maintaining a private life largely out of the public spotlight.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d12a9481909cce3711c1c2d9f8 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05139108190a5f2f3ea5c054d4b completed May 16, 2026, 9:23 p.m.
Created at: April 16, 2026, 12:15 p.m.