Triple

T2310697
Position Surface form Disambiguated ID Type / Status
Subject Contact Theatre E51949 entity
Predicate streetAddress P606 FINISHED
Object Oxford Road E16589 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: Oxford Road | Statement: [Contact Theatre, streetAddress, Oxford Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford Road
Context triple: [Contact Theatre, streetAddress, Oxford Road]
  • A. Oxford Road chosen
    Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
  • B. West Road
    West Road is a street in Cambridge, England, known for housing the University of Cambridge’s West Road Concert Hall and several academic institutions.
  • C. Gloucester Road
    Gloucester Road is a major street and London Underground station area in West London, known for its proximity to museums, shops, and residential neighborhoods in Kensington.
  • D. Talbot Road
    Talbot Road is a main street in Blackpool, England, known for its shops, businesses, and proximity to key transport links and the town centre.
  • E. Weston Road
    Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc6188c2481908054887527c633fe completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b333f7b3848190bcef4a06a2b94dd1 completed March 12, 2026, 9:45 p.m.
Created at: March 4, 2026, 7:49 p.m.