Triple

T2386331
Position Surface form Disambiguated ID Type / Status
Subject University of the Arts London E48831 entity
Predicate hasCampus P116 FINISHED
Object Wimbledon E61345 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: Wimbledon | Statement: [University of the Arts London, hasCampus, Wimbledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wimbledon
Context triple: [University of the Arts London, hasCampus, Wimbledon]
  • A. Wimbledon chosen
    Wimbledon is a district in southwest London best known for hosting the prestigious annual Wimbledon tennis championships, the oldest tennis tournament in the world.
  • B. National Tennis Centre
    The National Tennis Centre is a premier tennis training and competition facility located at the University of Stirling in Scotland.
  • C. Australian Open
    The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
  • D. French Open
    The French Open is one of tennis's four major Grand Slam tournaments, renowned for its clay courts and held annually at Roland Garros in Paris.
  • E. US Open (tennis)
    The US Open (tennis) is one of the four Grand Slam tournaments, a major annual hard-court championship that attracts the world’s top professional players.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7d9d8148190bb8aa16fd4364aba completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8bcb8c88190b57fd4d0a76209a5 completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:57 p.m.