Triple

T3306434
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Camden E69460 entity
Predicate contains P35 FINISHED
Object Bloomsbury E48076 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: Bloomsbury | Statement: [London Borough of Camden, contains, Bloomsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloomsbury
Context triple: [London Borough of Camden, contains, Bloomsbury]
  • A. Bloomsbury chosen
    Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
  • B. Melbourne House
    Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
  • C. Faber and Faber
    Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
  • D. Bloomsbury Publishing
    Bloomsbury Publishing is a major independent British publishing house best known internationally for publishing the Harry Potter series and a wide range of literary and academic works.
  • E. Allen Lane
    Allen Lane was a British publisher who founded Penguin Books and pioneered the mass-market paperback revolution in the 20th century.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0caa0988190872fc7648e64571f completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.