Triple

T31841
Position Surface form Disambiguated ID Type / Status
Subject Birmingham, Alabama E635 entity
Predicate namedAfter P63 FINISHED
Object Birmingham, England E13669 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: Birmingham, England | Statement: [Birmingham, Alabama, namedAfter, Birmingham, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Birmingham, England
Context triple: [Birmingham, Alabama, namedAfter, Birmingham, England]
  • A. Birmingham chosen
    Birmingham is a major industrial city in England’s West Midlands, historically significant for its manufacturing heritage and heavy bombing during the Second World War.
  • B. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • C. Bristol
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • D. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • E. Sheffield
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2487838f881908ab8eda6c6ae53e4 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f1571481908459c38b1e949b3f completed Feb. 28, 2026, 12:34 p.m.
Created at: Feb. 28, 2026, 1:44 a.m.